# Allerin -- Full Description

> Enterprise AI and computer vision company delivering production-ready solutions across manufacturing, logistics, retail, insurance, transportation, and energy. 19 industry-specific solutions, 4 flagship products, and 12 engineering services. Founded 2005, headquartered in Austin, Texas. KPI-gated rollouts with measurable outcomes before scaling.

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## Products (4 Flagship Platforms)

### VISTA -- Enterprise Computer Vision Platform
Real-time ALPR alerts and compliant video/audio redaction with audit trails -- built for fleet management, corporate security, logistics operations, and retail loss prevention.

Capabilities:
- Hotlist/watchlist alerts with reviewer queues and dispositions
- Fleet management and logistics security: loading dock monitoring, distribution center access control
- Aviation/Airport: airside perimeter security, rental car facility monitoring, parking structure surveillance
- Bulk redaction (faces/plates/objects/audio) for compliance, FOIA, and incident response
- Chain-of-custody, access logs, and configurable retention controls
- Evidence packaging and export for investigations and insurance claims
- API-first: CAD/RMS, VMS, SSO/IAM, storage, notification, ERP integration
- Investigator search: plate/vehicle metadata, geo-temporal pivots

Outcomes:
- Watchlist alert review time: down 40-60%
- Redaction turnaround: down 50-70%
- Critical CVEs to 0 before go-live (with OWASP sweep)

Deployment: On-premise, cloud, edge, or hybrid. VMS integration via REST/webhooks. SSO/IAM (OIDC/SAML). S3-compatible storage.
Security: GDPR, HIPAA, CCPA, SOC 2 compliance. TLS 1.3 in transit, AES-256 at rest. RBAC with audit trails. SBOM + SAST/DAST evidence.
Industries: Enterprise, Retail, Logistics, Transportation, Manufacturing


### SENTRA -- Traffic Analytics
Edge AI for counting, classification, speed, and incident detection -- serving warehouses, distribution centers, corporate campuses, and manufacturing facilities.

Capabilities:
- Real-time counts, speed, and FHWA class at the edge (Jetson/x86)
- Aviation/Airport: curbside flow optimization, ground transportation analytics, terminal access monitoring
- Warehouse and Logistics: loading dock optimization, yard management, trailer tracking
- Corporate Campus: traffic flow analysis, parking guidance, employee shuttle optimization
- Incident detection (stopped vehicle, wrong-way, queue build-up, congestion alerts)
- ArcGIS/LRS conflation; shapefiles/feature classes export
- Live dashboards and scheduled study packs
- Hybrid edge-to-cloud sync and statewide batch inference
- Model monitoring and drift alerts; retrain hooks

Outcomes:
- Vehicle classification accuracy: 98%+ on tuned sites
- Incident detection latency: under 1-2 seconds (tuned per site)
- Cloud GPU/egress spend: down 20-40% with edge batching

Deployment: Edge devices (Jetson/x86). Kubernetes microservices. ArcGIS/feature classes export. Statewide batch inference support.
Security: Encrypted telemetry and data transmission. Role-scoped access controls. Optional anonymization for public data portals.
Industries: Logistics, Manufacturing, Enterprise, Transportation, Retail


### iPAM -- Unified Parking Management Platform
One platform for permits, enforcement, and violation management -- serving towns and cities, corporate campuses, retail centers, healthcare facilities, and commercial properties.

Capabilities:
- Virtual permits and waitlists; pro-rating and rules engine
- Airport Parking: terminal/economy lot management, reservation systems, loyalty programs
- Corporate Campus: employee parking management, visitor registration, EV charging integration
- Retail: customer parking validation, loyalty rewards, holiday/peak pricing
- Enforcement from a phone; e-chalking and no-return blockface rules
- Citations, disputes, violation management and appeals workflows
- Event and valet modules
- Analytics and scheduled reporting; open APIs/webhooks
- End-user portal; payments and receipts; mobile app notifications

Outcomes:
- Permit adoption: up 10-25% with self-service and virtual permits
- Violator capture: up 15-35% with e-chalking policies
- Dispute handling time: down 30-50% with evidence packaging

Pricing (published; flat and public, so every town of the same size pays the same price. Purchasing follows the town's own policy: written quotes provided the same day, and Allerin takes part in a formal bid where the policy calls for one):
- Core: $7,500/yr. Towns under about 10,000 residents with one enforcement zone. Virtual permits, phone-based enforcement with no hardware to buy, digital citations with online payment, resident portal, standard reports, onboarding and support included.
- Standard: $14,500/yr. Towns of 10,000 to 30,000 running permits plus active enforcement. Everything in Core plus waitlists, pro-rating, the rules engine, disputes and appeals with evidence packaging, merchant validation, up to 5 zones, scheduled reporting.
- Full: $19,500/yr. Towns and small cities of 30,000 to 75,000 with multiple zones or seasonal demand. Everything in Standard plus event and valet modules, open APIs and webhooks, unlimited zones, priority support.
- Enterprise: custom quote. Cities over 75,000, counties, parking authorities, airports, universities, multi-jurisdiction deployments. Custom modules, on-premise or dedicated cloud, ERP integrations (SAP, Oracle, Munis), parking hardware rollout support, SLA commitments, dedicated success manager.
Terms: 12-month term, renews annually, cancel with 60 days notice. Purchase orders and ACH accepted, Net 30. Onboarding included in year one. No hardware required to start.

Deployment: Cloud-hosted or on-premises. Mobile enforcement app (iOS/Android). Parking hardware integration. PCI-compliant payment gateway. Finance/ERP data feeds.
Security: RBAC with audit trails. SSO (SAML/OIDC). PCI DSS alignment. Configurable data retention. WCAG 2.1 AA.
Industries: Enterprise, Retail, Healthcare, Logistics, Manufacturing


### NeuroSight -- AI Weapon Detection
Sub-200ms firearm detection and behavior cues at the edge -- protecting retail stores, corporate headquarters, manufacturing facilities, financial institutions, and healthcare facilities.

Capabilities:
- Firearm detection and behavior analytics (loitering, raised-arm cues, crowd anomalies)
- Aviation/Airport: terminal security, checkpoint monitoring, baggage claim, parking structure surveillance
- Retail Security: storefront monitoring, loss prevention integration, customer safety alerts
- Corporate and Manufacturing: facility entrance monitoring, sensitive area protection, workplace violence prevention
- Human-in-the-loop review queue and alert confirmation with prioritization
- Integrations: VMS, access control, mass notification, incident management systems
- Device health, stream quality, and alert reliability metrics
- Model monitoring, drift and threshold tuning per environment
- Privacy modes and masking tools with audit compliance

Outcomes:
- Detection latency: under 200ms (edge pipeline)
- Reviewer load: down 30-50% with triage and event bundling
- NDAA-compliant camera posture for public procurements

Deployment: On-prem edge devices (Jetson/x86) or hybrid cloud. VMS integration via API/SDK. Access control and mass notification webhooks. Air-gap deployment options.
Security: TLS 1.3, AES-256. RBAC with audit trails. NDAA-compliant hardware options. Privacy modes with configurable masking.
Industries: Enterprise, Retail, Manufacturing, Healthcare, Financial Services

---

## Solutions (19 Industry-Specific)

### Manufacturing

#### QualiZer -- In-Line Defect Detection
Reduce scrap and rework by detecting defects at the line with edge CV and explainable reviews.

Capabilities:
- Real-time defect cues on conveyor/fixture views
- Reviewer console with side-by-side frames and reason codes
- Trend by SKU/shift/tool; alerts to MES/Andon
- Evidence export for supplier claims and training
- Optional AOI/3D fusion where available
- In-line detection at 200+ FPS
- Edge-first architecture on NVIDIA Jetson or industrial PCs
- Native MES/SCADA integration (Siemens, Rockwell, Ignition)

Outcomes:
- Scrap/rework: down 10-25%
- Inspection time: down 30-60%
- False rejects: down 10-30%

Deployment: Edge (Jetson/x86), industrial cameras (GigE, USB3). MES/ERP via REST APIs.
Timeline: PoC to Pilot 8-12 weeks with KPI gates.


#### VibraQore -- Predictive Maintenance
Detect bearing/imbalance faults early and plan interventions to avoid unplanned downtime.

Capabilities:
- Multi-axis vibration intelligence (X, Y, Z axes with FFT analysis, 100Hz to 20kHz)
- 14-day failure forecasting with ML models trained on historical data
- Native CMMS and EAM integration (SAP PM, IBM Maximo, Fiix, UpKeep)
- Sensor fusion: vibration + current + thermal
- Asset health scoring and remaining-useful-life estimation
- Parts and labor forecasting
- Drift and seasonality monitoring

Outcomes:
- Fewer unplanned breakdowns: down 35%
- Average failure warning: 14 days
- Maintenance ROI: up 3x

Industries/Equipment: Rotating equipment, gearboxes and drives, CNC machinery, HVAC and utilities.
Deployment: Vibration sensors + edge compute. CMMS hooks for work orders.
Timeline: Sensor+vision baseline, alert rules, CMMS hooks.


### Warehousing & Logistics

#### StockVexel -- Autonomous Inventory Scanning
Nightly cycle counts and OSA/shrink visibility using drone/AMR scanning -- no aisle closures.

Capabilities:
- Corridor scans to shelf map; OCR/barcode reconciliation
- Exception list to handhelds; photos for proof
- WMS reconcile and tasking API
- Night shift friendly; safety interlocks
- AMR/drone path planning and collision avoidance

Outcomes:
- Faster cycle counts: up 40%
- Inventory accuracy: up to 99.2%
- Stock reconciliation: under 5 minutes

Deployment: AMR/drone integration. WMS adapters via REST/webhooks.
Timeline: PoC to Pilot 8-12 weeks with KPI gates.


#### YardLytix -- Dock & Yard Analytics
Reduce door dwell and improve trailer turns with camera+OCR and a live yard map.

Capabilities:
- Gate OCR (98%+ accuracy) with event timeline
- Live yard map with slot status and heatmaps
- SLA breach alerts to ops (SMS, email, TMS dashboard)
- TMS/YMS integration (SAP TM, Blue Yonder, Oracle TMS, Manhattan)
- Real-time trailer location tracking
- Bi-directional sync for appointments and carrier updates

Outcomes:
- Dwell time reduction: down 15-30%
- Faster trailer turns: up 2x
- Annual detention savings: $50K+

Deployment: Gate cameras with OCR. Edge devices (Jetson/x86). TMS/YMS adapters.
Timeline: Gate OCR pack, yard map + KPIs, TMS/YMS hooks.


### Retail

#### ShelfSentra -- Shelf Compliance & OSA
Detect out-of-stocks and planogram drift in-aisle; push tasks to devices and measure recovery time.

Capabilities:
- OOS and planogram variance detection
- Task push to handhelds with SLA timers
- Recovery measurement and leaderboards
- Privacy-preserving analytics (no PII)
- Real-time shelf compliance scoring

Outcomes:
- OSA: up 2-6 percentage points
- Task recovery time: down 20-40%
- Conversion lift: up 3-5%

Deployment: In-aisle cameras. Handheld device integration. ERP/WMS adapters.
Timeline: In-aisle models, tasking API, KPI dashboards.


#### Queuence -- Queue & Staffing Analytics
Predict queues, alert lane opens, and cut walk-offs with staffing hooks.

Capabilities:
- Real-time queue length and wait prediction (85-90% accuracy)
- Smart alerts to managers and signage
- Workforce management integration (Kronos, ADP, Legion)
- Anonymized video analytics (no facial recognition, no PII)
- Abandonment tracking and trend analysis

Outcomes:
- Wait time: down 20-40%
- Walk-offs: down 15-30%
- Prediction accuracy: 85-90%

Deployment: Existing security cameras for queues. Edge inference. Cloud sync for reporting.
Privacy: GDPR and CCPA compliant by design.


### Insurance & Financial

#### ClaimSentra -- Roof/Property Claims Triage
Accelerate claim triage using aerial damage scoring and assessor routing with defensible evidence.

Capabilities:
- Aerial image ingest; roof/property scoring
- Route and priority suggestions
- Evidence packs for adjusters
- Public records redaction (paired with VISTA)
- Change detection for disaster response

Outcomes:
- Claim cycle: down 30-50%
- Desk settlements: up 35%
- Re-inspection rate: under 5%

Integration: Xactimate, Guidewire, Duck Creek.


#### ClaimVista -- Claims Automation & Adjudication
Reduce claims cycle time and improve adjuster productivity with AI-powered triage and data extraction.

Capabilities:
- Auto-triage claims by complexity, fraud signals, and urgency
- OCR extraction of policy/loss data from photos, PDFs, and forms (95%+ accuracy)
- Pre-filled adjuster worksheets with validated data
- Fraud signal detection with 50+ red flag rules and SIU queue routing
- Duplicate detection, document authenticity analysis, network analysis

Outcomes:
- Cycle time: down 30-50%
- Data entry: 8 minutes saved per claim
- Extraction accuracy: 95%+

Integration: Guidewire, Duck Creek, Applied Epic.


#### CompliChek -- Policy Form Compliance Validation
Validate insurance policy forms against state-specific regulations before SERFF filing.

Capabilities:
- Validate policy documents against state/federal regulations (all 50 US states)
- Flag missing disclosures, outdated clauses, and non-compliant language
- Audit trail generation for SOC 2, HIPAA, FedRAMP compliance
- Version control and change tracking
- Regulatory database auto-updates with jurisdiction rules
- Issue resolution workflow with SLA tracking and approval chain

Outcomes:
- Faster audit prep: down 40-60%
- Fewer SERFF objections: down 85%
- Validation accuracy: 98%+


#### DocQore -- Government Document Processing
Digitize paper and microfilm archives. Make 15 years of records searchable in 90 days.

Capabilities:
- Legacy format conversion: 16mm, 35mm roll film, COM microfiche, aperture cards, bound volumes, handwritten records
- Advanced preprocessing: deskew, despeckling, contrast enhancement
- NLP-powered metadata extraction and tagging
- Exemption-aware PII redaction with FOIA exemption codes
- Searchable archive with full-text indexing
- Batch processing with quality gates and human-in-loop validation

Outcomes:
- Throughput: 1,000+ pages/hour
- OCR accuracy: 95-98% (98%+ typewritten, 95%+ handwritten)
- Searchable archive: 60-90 days
- Capacity: 1 million+ pages in 90 days


#### FraudLens -- Insurance Fraud Detection
Score every claim at FNOL in milliseconds. Flag suspicious claims before payout.

Capabilities:
- Anomaly detection on claim patterns, networks, and submission behavior
- Image forensics: pixel-level analysis, AI-generation detection (GANs, DALL-E, Midjourney), metadata forensics
- Fraud ring detection: entity relationship mapping, network graphs for SIU investigation
- SIU workflow integration with investigation queue
- External database lookups (ISO, NICB, fraud bureaus)
- Explainable scoring with evidence packaging

Outcomes:
- Detection: 3x more fraud vs rules-based systems
- Resolution: 50% faster SIU case closure
- Precision: 75% fewer false positives


### Transportation & Rail

#### RailAurex -- Track & Catenary Inspection
Detect defects from video/LiDAR and prioritize work orders for maintenance of way.

Capabilities:
- Multi-sensor defect detection: video, thermal, LiDAR from inspection cars
- Rail cracks, gauge anomalies, fastener defects, tie degradation, catenary wear
- Geo-tagged findings with GIS overlay (ArcGIS, QGIS)
- Automated work order export to EAM (Maximo, SAP PM, Infor EAM)
- Model accuracy and QA dashboards with confusion matrices

Outcomes:
- Inspection time: down 30-50%
- Defect detection: 95%+
- Hazardous misses: target zero

Deployment: Edge devices during route traversal. No connectivity required for real-time processing.


#### RailGuard -- Right-of-Way Monitoring & Clearance
Automated vegetation encroachment detection and clearance violation alerts with GIS mapping.

Capabilities:
- Vegetation encroachment detection with GPS mapping
- Structure gauge and clearance monitoring (AAR Plate B-K standards)
- Seasonal intelligence: growth rate tracking, herbicide effectiveness, storm damage detection
- Catenary wire proximity monitoring for electrified territories
- Work order generation with severity scoring and priority routing
- GIS layer export for corridor planning

Outcomes:
- Survey time: 35-45% faster (weeks to days per subdivision)
- Detection: 60-80% more encroachments vs manual patrol
- Costs: 40-55% lower with targeted crew dispatch

Compliance: FRA 49 CFR 213.321 vegetation compliance mandate.
Deployment: Mobile (hi-rail vehicles), fixed, or revenue service.


#### TrackSentinel -- Surface Defect Detection
AI-powered inspection for rail surface conditions, tie health, fastener integrity, and ballast indicators.

Capabilities:
- Rail surface defects: head checking, squats, visible cracks
- Tie condition grading (wood and concrete)
- Fastener anomaly detection
- Ballast surface assessment
- FRA-compliant documentation

Important scope: Camera-based AI for SURFACE defects only. Internal rail defects require ultrasonic testing and are outside detection scope.

Deployment: Edge processing on inspection vehicles.
Compliance: FRA Part 213 track safety standards.


#### FleetTherm -- Rolling Stock Thermal Monitoring
Predictive thermal anomaly detection for wheels, bearings, and brakes with depot integration.

Capabilities:
- Complete thermal profiling at rest (depot-based)
- Complements wayside Hot Box Detectors (point-in-time at line speed)
- Component-level tracking and trending
- Pre-failure alerts with maintenance scheduling

Target markets: Transit and Metro, Commuter Rail, Light Rail, Passenger Rail, Industrial/Port fleets.
Deployment: Depot-mounted thermal arrays. CMMS integration.


#### SignalEye -- Signal & Switch Monitoring
Automated signal aspect verification and switch position confirmation with PTC integration.

Capabilities:
- Signal aspect verification from wayside cameras (red/yellow/green)
- Switch position confirmation with anomaly alerts (points alignment, lock status)
- PTC integration for automated fault reporting (Wabtec I-ETMS, Alstom ACSES)
- Trend analysis for signal degradation patterns
- Alert escalation by signal criticality and location

Outcomes:
- Signal lamp degradation: 50-70% earlier detection vs monthly walking inspection
- Switch maintenance alerts: 40-60% proactive identification
- Fault documentation time: down 60-75%

Deployment: Wayside cameras, 24/7 monitoring. Edge-deployed models.


### Energy & Utilities

#### GridAurex -- Transmission Line Inspection
Anomaly detection from drone/helo feeds for line, tower, and substation inspections.

Capabilities:
- Anomaly detection: corrosion, vegetation encroachment, hot spots
- Route-based review queues with priority scoring by severity and location
- Work order export to EAM/CMMS with GPS coordinates and evidence packs
- GIS-based asset mapping for targeted inspections
- Integration with drone platforms (DJI, senseFly)

Outcomes:
- Inspection cycle time: down 45% (6 months to 3.3 months for full system patrol)
- Defect detection accuracy: 90-95% F1 score across 8 categories
- Flight costs: down 30-40%
- Review time: down 70%

Validated on: 2,400 miles of 345kV, 50,000+ images.


#### HelioLytix -- Solar PV Thermal Monitoring
Hot-spot and underperforming panel detection from thermal imagery, prioritized by revenue loss.

Capabilities:
- Hot-spot detection and panel string mapping with production impact estimates
- IEC TS 62446-3:2017 compliance for outdoor infrared thermography
- CoA-based severity classification (Minor/Serious/Critical)
- Revenue-prioritized maintenance work orders
- Integration with monitoring systems (SolarEdge, Huawei, etc.)
- CMMS integration (SAP PM, Maximo)

Outcomes:
- Production recovery: 2-8% (up to 12% on severely degraded sites)
- Anomaly detection: 94% F1 score (validated on 25,000+ module images across 40+ sites)
- Review time reduction: down 70%

Standards: IEC 62446-3 outputs valid for warranty claims, insurance documentation, investor due diligence, EPC commissioning.


#### ThermaSentinel -- Leak/Flare Monitoring
Methane and flare anomaly detection from thermal/OGI sensors with automated regulatory reporting.

Capabilities:
- Methane leak detection from thermal/OGI sensors
- Flare monitoring with combustion efficiency and visible emissions tracking
- Multi-frame validation to filter false positives
- EPA/LDAR-compliant report generation with audit trails
- Alert prioritization by severity and regulatory risk
- Integration with field maintenance systems

Outcomes:
- Leak detection time: down 60%
- Regulatory compliance: 100%
- False positives: down 40-50%

Compliance: EPA OOOOa/OOOOb/OOOOc methane regulations, LDAR requirements.

---

## Services (12 Engineering Services)

### Agentic AI Systems
Multi-agent automations with guardrails and HITL review.

What you get:
- Orchestration graph in code (agents, tools, policies) with retries/timeouts
- Evals suite: jailbreak, toxicity, groundedness, accuracy gates
- Guardrails and safety gates enforced in CI and runtime
- Reviewer console (approve/annotate/retry) with audit trail
- Run log and trace viewer (inputs, prompts/versions, tool calls, outputs)
- Budget caps and alerts; cost per transaction export

Outcomes:
- Eliminate manual back-office steps
- Reviewer minutes per case: down 30-50%
- Cost per transaction capped and reported
- Agent accuracy: 74% to 94% (+20%)
- Human review time: 8hr/day to 45min/day (89% efficiency gain)

Timeline: 2-4 weeks (design+pilot), 6-8 weeks (pilot to prod).
Team: Architect, MLE, FE, BE, PM; security reviewer on demand.
Tech: LangGraph/Temporal/Argo; OpenAI/Claude/local models; SSO (OIDC/SAML); on-prem/GovCloud or VPC.


### GenAI Product Accelerator
RAG features shipped to production safely.

What you get:
- Vector pipeline + knowledge ingestion (automated re-indexing)
- RAG orchestration layer with prompt versioning and fallbacks
- Evals suite: accuracy (exact-match + semantic), hallucination gates, toxicity filters
- CI/CD integration with regression gates (accuracy thresholds)
- Observability dashboard: usage, cost per query, latency p95
- Safety monitoring: PII detection, content filters, rate limits

Outcomes:
- Working RAG feature in prod with accuracy at or above target
- Production RAG hallucination rate under 3%
- Time to market: 6 months to 6 weeks (4x faster)
- Prompt accuracy: 68% to 91% (+23%)

Timeline: 4 weeks (MVP), 6 weeks (production-ready with full evals and monitoring).
Tech: Pinecone/Weaviate/pgvector; OpenAI/Claude/Gemini/Llama; LangSmith/Phoenix.


### Computer Vision FastTrack
PoC-to-production pipeline on edge/cloud.

What you get:
- Custom model trained on your footage (detection/tracking/classification)
- Edge deployment package: ONNX/TensorRT optimized for Jetson/x86/ARM
- Inference pipeline with target latency (typically 60-200ms p95)
- Precision/recall benchmarks on test set with confusion matrices
- MLOps workflow: drift monitoring, review UI, re-labeling, retraining hooks
- Production runbook: deployment, rollback, troubleshooting, scaling

Outcomes:
- Model accuracy: 82% to 96% (+14%)
- Inference latency: 850ms to 120ms (7x faster)
- Reviewer minutes/event: 3.8 to 1.9 min
- Measurable reduction in manual review time (typically 87%)

Timeline: 4 weeks (PoC), 8 weeks (production-ready with MLOps).
Tech: YOLOv8/v11, ONNX/TensorRT, INT8 quantization, NVIDIA Jetson, Docker/K3s.


### Data & Analytics Platform
GIS + KPI dashboards with a data-quality spine.

What you get:
- Data connectors with retry logic and monitoring (source to warehouse)
- KPI catalog with definitions, owners, refresh schedules, and SLAs
- Data quality pipeline: profiling, validation rules, alerts on critical failures
- GIS-enabled dashboards with zoom, filter, layer controls, and export
- Narrative report generator with automated summaries and anomaly detection
- Runbook: troubleshooting, scaling, adding KPIs, data refresh procedures

Outcomes:
- Query performance: 45s to 1.2s (97% faster)
- Data pipeline SLA: 82% to 99.7%
- Report prep time: 8 hours to 2 hours (75% savings)

Timeline: 3-6 weeks.
Tech: Snowflake/BigQuery/Redshift; ArcGIS/Mapbox/PostGIS; Tableau/Power BI/Looker; Great Expectations/dbt.


### MLOps & Model Operations
Registry, monitoring/drift, and model governance.

What you get:
- Model registry with versioning, lineage tracking, and metadata tagging
- Drift monitoring dashboard with statistical tests (KL divergence, PSI)
- Automated rollback workflow with last-known-good fallback
- Evaluation harness with precision/recall/F1 benchmarks
- CI/CD integration for model deployment
- MLOps runbook with troubleshooting and cost guardrails

Outcomes:
- Model deployment time: 3 weeks to 2 hours (252x faster)
- Drift detection: manual/weekly to auto/real-time
- Incident recovery: 4-8 hours to 5 minutes (96% faster)

Timeline: 3-5 weeks.
Tech: MLflow, Weights and Biases, or custom registry; GitHub Actions/GitLab CI.


### Platform Modernization
Modular monolith first; APIs; observability and cost.

What you get:
- Modernization blueprint with target architecture and migration phases
- Dual-run infrastructure with blue-green/canary deployment capability
- Observability stack: distributed tracing, structured logging, error budgets
- API gateway and module boundaries with contracts and versioning
- CI/CD pipeline with automated testing and rollback automation
- Security baseline: SBOM generation, SAST/DAST scanning, CSP/HSTS headers
- Cost plan: unit economics per request/service, autoscale policies, budget alerts

Outcomes:
- Deployment frequency: 1x/month to 12x/day (360x faster)
- Infrastructure cost: $85k/mo to $31k/mo (64% reduction)
- Error budget adherence: 72% to 99.2%

Timeline: 4-8 weeks.
Tech: Ruby/Rails, Node.js, Python, Java/Spring Boot, .NET; Docker/Kubernetes; Datadog/New Relic/Grafana.


### AI Security & Compliance
AI-specific security hardening with compliance frameworks.

What you get:
- AI threat assessment: prompt injection, model theft, data poisoning vulnerability analysis
- LLM security hardening: input validation, output filtering, jailbreak protection
- Model access controls: RBAC, API key management, usage monitoring
- AI-specific SBOM: model lineage, training data provenance, dependency tracking
- Compliance mapping: SOC 2, ISO 27001, HIPAA, NIST AI RMF alignment
- Continuous monitoring: anomaly detection, drift monitoring, incident response
- Audit evidence pack: security controls documentation, penetration test results

Outcomes:
- Production CVEs: 37 critical to 0 (100% elimination)
- Audit prep time: 6 weeks to 2 days (95% faster)
- SBOM coverage: 0% to 100%

Timeline: 4-8 weeks.
Tech: Lakera, Protect AI; SAST/DAST for ML pipelines; Arize, WhyLabs; Vanta, Drata.


### Product Pods
Dedicated pods + fractional leadership. Predictable throughput, zero-freeze onboarding.

What you get:
- Pod charter with ownership, scope, and escalation paths
- Weekly sprint demos, bi-weekly retrospectives
- Monthly roadmap health review
- Real-time backlog visibility with definition of ready/done
- Incident response SLOs: P0/P1 triage, post-mortem reports
- Transparent metrics: sprint completion, carry-over %, bug density, PR cycle time

Outcomes:
- Feature velocity: 2.1/sprint to 8.4/sprint (4x faster)
- Bug density: 12/kloc to 1.8/kloc (85% quality boost)
- Carry-over: 38% to 6%
- Time to production: 3.2 weeks to 1.1 weeks (66% faster)

Team: Pod Lead (1 FTE), Frontend (2), Backend (2), QA (1), PM (0.5).
Timeline: Ongoing; monthly or quarterly renewal.


### AI Platform & Orchestration
One control plane to design, run, observe, and govern multi-agent/LLM apps.

What you get:
- Orchestration graph with retries, timeouts, circuit breakers, and backoff logic
- Multi-model routing engine with cost/latency policies and automatic fallbacks
- Central run log with PII redaction, prompt versioning, and audit trails
- Guardrails blocking unsafe actions (jailbreak, toxicity, groundedness)
- Observability with traces, metrics, alerting
- SSO/SAML, RBAC, secrets management

Outcomes:
- Model switching time: 3 weeks to 5 minutes (99% faster)
- AI run costs: down 77%
- Full audit compliance

Timeline: 3-5 weeks.
Tech: LangGraph/Temporal/Argo; OpenAI/Claude/Gemini/Llama; Datadog/Grafana/OpenTelemetry.


### Rapid Prototyping Lab
Executive-ready prototypes + tech spikes in 2 weeks.

What you get:
- Clickable prototype covering 5-7 critical flows
- Tech spike code for riskiest section (RAG, CV, SSO)
- Risk register with cost/effort T-shirt sizing
- Clear decision: proceed, park, or pivot

Outcomes:
- Decision cycle: 6 weeks to 2 weeks (3x faster)
- Cost of wrong decision: $400k wasted to $18k prototype (96% cost avoidance)
- Feature validation rate: 40% unused to 85% adopted
- Risk identification: 20% to 90% risks mapped

Timeline: 2 weeks.
Team: Architect, UX, FE, MLE/BE (spike).


### Integration FastTrack
Production-ready connectors with test suites and docs.

What you get:
- Spec pack: sequence diagrams, auth scopes, OpenAPI/Protobuf/Avro/JSON schema
- Test harness: unit/contract/integration; replayable fixtures; mock servers
- Error taxonomy + retry/backoff and idempotency keys
- Reconciliation jobs + variance dashboards; backfill plan
- Runbooks: deploy/rollback, replay, DLQ handling
- Security: SAST/DAST/SCA clean; secrets in KMS; PII masking

Outcomes:
- Sync success rate: 91.8% to 99.7% (+7.9%)
- Integration time: 18 weeks to 10 weeks (44% faster)
- Data variance: 2.3% to 0.3% (87% improvement)

Timeline: 3-6 weeks.
Protocols: REST/GraphQL/gRPC, SOAP, SFTP/S3, Kafka/Kinesis/PubSub, Webhooks.
Target systems: SAP, Oracle, Workday, Salesforce, ServiceNow, Snowflake, ArcGIS, and more.


### Rails Upgrades without Feature Freeze
In-place Rails/Ruby upgrades while you keep shipping.

What you get:
- Upgrade plan: Ruby X to Y, Rails A to B; gem audit and shim strategy
- Dual-boot enabled; green path proven in staging with traffic replay
- Zero-downtime migrations via strong_migrations / gh-ost / pt-osc
- CI/CD hardening: matrix builds (old/new), contract tests, flaky-test quarantine
- Observability pack: pre/post p95, p99, error budgets
- Performance fixes: N+1 elimination, index strategy, cache keys
- Security hardening: Brakeman, bundler-audit, CSP/HSTS
- Cutover runbook: canary %, health gates, abort switch, rollback under 10 min

Outcomes:
- Same-day cutovers with dual-boot (no freeze)
- Zero critical CVEs at release
- p95 down 30%+ on named hot paths
- Deploy frequency: daily or better
- Infra/DB cost: down 20-40% with YJIT, caching, pool tuning

Timeline: 4-8 weeks.
Tech: Ruby 3.2/3.3 with YJIT; Rails 7.x; Puma 6; PostgreSQL 13+; pgbouncer; OpenTelemetry.

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## Industries (6 Verticals)

### Manufacturing
90-day quick wins for quality, maintenance, and safety -- without ripping out your stack.
Solutions: QualiZer (defect detection), VibraQore (predictive maintenance), SiteSentra (worker safety).
Personas: Plant Ops, Quality.
ROI proof: 27% scrap reduction (tier-1 supplier), 35% fewer breakdowns (food processing).

### Warehousing & Logistics
Cycle counts done overnight, doors turning faster, picks more accurate -- no aisle closures, no WMS re-platform.
Solutions: StockVexel (inventory scanning), YardLytix (dock/yard analytics), PickPathor (pick-path optimization).
Personas: DC Managers, 3PL Ops.
ROI proof: 40% faster cycle counts, 25% dock dwell reduction.

### Retail
Shelves stocked, queues moving, customers converting -- no manual audits, no new POS.
Solutions: ShelfSentra (shelf compliance), Queuence (queue analytics), Backroom Ranger (back-room scanning).
Personas: Store Ops, Merchandising.
ROI proof: 18% OSA improvement, 30% queue walk-off reduction.

### Insurance & Government
43% faster claims adjudication, 68% document processing lift, fraud losses down -- no core system replacement.
Solutions: ClaimVista (claims automation), CompliChek (compliance validation), DocQore (document processing), FraudLens (fraud detection), ClaimSentra (property claims triage).
Personas: Claims Ops, Compliance Teams, Agency IT Directors.
ROI proof: 43% faster claims cycle time, 68% document processing improvement.

### Transportation & Rail
31% fewer track incidents, 40% faster ROW clearance, thermal failures caught before service disruption.
Solutions: RailGuard (ROW monitoring), TrackSentinel (track defects), FleetTherm (thermal monitoring), SignalEye (signal/switch monitoring), RailAurex (track/catenary inspection).
Personas: Infrastructure Directors, Safety Managers, Rolling Stock Operations Teams.
ROI proof: 31% fewer track incidents, 40% faster ROW clearance.

### Energy & Utilities
Line inspections and PV analytics with fewer flights and faster findings.
Solutions: GridAurex (line inspection), HelioLytix (solar PV monitoring), ThermaSentinel (leak/flare monitoring).
Personas: Transmission and Distribution, Renewable Asset Management, Compliance and Safety.
ROI proof: 45% inspection time reduction, 2-8% solar production recovery.

---

## Resources

- [ALPR & Redaction Policy Guide](https://www.allerin.com/resources/alpr-redaction-policy-guide): Field guide to shipping ALPR and video/audio redaction that stands up to PRA/FOIA and CJIS-style audits. By Sarah Chen, Solutions Architect. 12 min read.
- [Edge Computer Vision Production Blueprint](https://www.allerin.com/resources/edge-computer-vision-production-blueprint): Practical blueprint from PoC to stable edge CV -- covering datasets, accuracy gates, latency budgets, and operational review loops. By Marcus Rodriguez, Principal Engineer. 14 min read.
- [Agentic AI Guardrails & Evals Guide](https://www.allerin.com/resources/agentic-ai-guardrails-evals-hitl): How to design multi-agent automations that pass security review: policy mapping, eval suites, safety gates, HITL patterns. By Dr. Amara Okafor, Lead, Agentic AI Practice. 12 min read.

---

## Company

- **Name**: Allerin US Inc.
- **Founded**: 2005
- **Headquarters**: 2921 Prado Street, Unit A, Austin, TX 78702, USA
- **Phone**: +1-512-200-2416
- **Email**: analytics@allerin.com
- **Website**: https://www.allerin.com
- **LinkedIn**: https://www.linkedin.com/company/allerin
- **Twitter/X**: https://x.com/allerint
- **Specialties**: Computer Vision, Edge AI, Agentic AI, GenAI/RAG, MLOps, Data Analytics, Platform Modernization, AI Security
- **Deployment**: On-premise, cloud, edge, hybrid -- KPI-gated rollouts with measurable outcomes before scaling