80% of AI Projects Fail to Reach Production.
Yours Won't.
Source: RAND Corporation, 2024
AI Services Built for Production, Not Just Prototypes
Most AI initiatives die in pilot purgatory—impressive demos that never touch real users. Our 84-person engineering team ships production-grade AI with KPI gates, reversible rollouts, and measurable business outcomes. From agentic systems to computer vision to analytics platforms, we build AI that actually works in the real world.
Trusted by startups and enterprises building production AI
The AI Industry's Dirty Secret
The gap between AI ambition and AI reality has never been wider. Companies invest millions in AI initiatives, hire data science teams, and build promising prototypes—only to watch them stall before reaching production.
of AI projects fail to reach production
More than double the failure rate of traditional IT projects
Source: RAND Corporation, 2024
of companies abandoned most AI initiatives in 2025
Up from just 17% in 2024—failure is accelerating
Source: S&P Global Market Intelligence, 2025
of AI POCs scrapped before production
Nearly half of all experiments never see real users
Source: S&P Global Market Intelligence, 2025
average time from prototype to production
For the projects that actually make it
Source: Gartner, 2024
Why do so many AI projects fail? RAND Corporation's research identified five root causes: misaligned expectations, inadequate data infrastructure, technology-first thinking, lack of production planning, and attempting problems too difficult for current AI.
Notice what's not on that list: the AI technology itself.
The models work. The algorithms are proven. What fails is the execution—the messy, unglamorous work of integrating AI into production systems, handling edge cases, ensuring reliability, and actually deploying.
Engineering-First AI That Ships
We're not a strategy firm that hands you a deck and wishes you luck. We're an 84-person engineering team that builds, deploys, and supports production AI systems.
Built for Production from Day One
Every project starts with production in mind. We design for scale, reliability, and maintainability—not just impressive demos. KPI gates ensure we're solving real problems. Reversible rollouts mean we can iterate safely.
Outcomes You Can Measure
We don't celebrate model accuracy in isolation. We measure business impact: revenue influenced, costs reduced, time saved, decisions improved. If it doesn't move metrics that matter to your business, we keep iterating until it does.
From Architecture to Operations
We own the complete AI lifecycle: architecture design, data pipeline development, model training, deployment, monitoring, and ongoing optimization. No handoffs to other teams. No gaps in accountability.
Our Services
We offer a complete range of AI and engineering services, each designed to take you from concept to production with measurable results.
Build AI That Works in the Real World
Production-grade AI development with the guardrails and infrastructure enterprise deployments require.
Agentic AI Systems
Autonomous AI agents with guardrails, evals, and human-in-the-loop
Build AI agents that take action, not just generate text. Multi-step reasoning, tool use, and the safety controls enterprise deployments require.
- Multi-step reasoning and planning
- Guardrails and safety boundaries
- Production monitoring and observability
Computer Vision
Edge-ready CV with MLOps workflows
Deploy computer vision that works in challenging real-world conditions. Quality inspection, inventory tracking, and analytics at scale.
- Object detection and classification
- Edge deployment optimization
- Real-time video analytics
GenAI Applications
Production-ready generative AI beyond the chatbot demo
Move beyond generic ChatGPT wrappers to GenAI customized for your use cases, data, and workflows.
- RAG systems and knowledge bases
- Custom model fine-tuning
- Enterprise integrations
The Foundation for AI at Scale
Infrastructure, pipelines, and governance that turn experiments into reliable production systems.
MLOps & ModelOps
Only 32% of ML projects reach production. Change that.
of ML projects reach production
Source: Rexer Analytics, 2023
Bridge the gap between data science experiments and production systems. Pipelines, automation, and governance that turn promising models into reliable services.
- CI/CD pipelines for ML
- Automated retraining
- Drift detection and monitoring
AI Orchestration
Route every task to the right model—automatically
reduction in AI costs
Stop overpaying for AI. Intelligent routing to optimal models based on complexity, cost, and latency.
- Multi-provider management
- Real-time cost controls
- Complete observability
Platform Modernization
AI-ready architecture without the multi-year transformation
Modernize infrastructure for AI workloads. Cloud migration, microservices, data infrastructure—the foundation for successful AI deployment.
- Cloud migration and optimization
- Microservices architecture
- Data lake and warehouse design
Turn Data into Decisions
Analytics infrastructure and dashboards that drive data-informed business decisions.
Expertise for Critical Challenges
Specialized capabilities for security, integration, and team augmentation.
AI Security & Compliance
97% of organizations experienced a Gen AI security incident last year.
experienced GenAI security incidents
Source: Capgemini, 2024
Secure AI systems against prompt injection, model theft, and emerging threats. SOC 2, HIPAA, GDPR, and AI-specific frameworks.
- AI threat modeling
- LLM guardrails
- NIST AI RMF / ISO 42001
Integration FastTrack
897 apps. 29% connected. Fix that in weeks.
apps
connected
Source: MuleSoft, 2025
Build the integration layer that connects your systems, enabling data flows AI applications require.
- API development
- System integration
- Legacy connectivity
Product Pods
Embedded engineering teams, not staff augmentation
Senior engineers, ML specialists, and architects who ship production code, not just fill seats.
- Full-stack engineering
- ML/AI specialists
- Seamless team integration
Built for Builders
We work with organizations that are serious about shipping AI—not just experimenting with it. Whether you're a startup racing to product-market fit or an enterprise scaling AI across the organization, we bring the engineering depth to make it happen.
By Company Stage
Startups & Scale-ups
Move fast without breaking things. Build AI-powered products with production-quality infrastructure from day one.
- MVP development with scalable architecture
- AI feature development for core product
- Infrastructure that grows with you
Growth Companies
Scale AI capabilities without scaling headcount proportionally. Augment your team with specialized expertise.
- Strategic AI initiatives
- Platform modernization
- Team capability building
Enterprise
Navigate the complexity of enterprise AI at scale. Move from pilot purgatory to production deployment.
- Enterprise-wide AI strategy execution
- Complex integration projects
- Governance and compliance frameworks
By Industry
Financial Services & FinTech
AI for fintech: fraud detection services, risk modeling, automated underwriting
Healthcare & Life Sciences
Healthcare AI consulting: clinical decision support, HIPAA-compliant AI, patient analytics
Technology, SaaS & AI Integration
AI features for SaaS: ML feature development, intelligent automation, AI integration services
Manufacturing & Industrial
AI for manufacturing: computer vision, predictive maintenance, supply chain optimization
Retail & E-commerce
Retail AI solutions: recommendation engines, inventory optimization, demand forecasting
Why Teams Choose Allerin
Engineering-First, Not Consulting-First
We're builders, not advisors. Our 84-person team writes code, deploys systems, and operates production AI. You get working software, not strategy decks.
Production Focus
Every project is designed for production from day one. We don't build impressive demos that can't scale. We build systems that work in the real world with real data.
Measurable Outcomes
We agree on success metrics upfront and hold ourselves accountable. KPI gates at every milestone ensure we're solving problems that matter to your business.
Full-Stack Capability
From infrastructure to models to applications, we handle the complete AI stack. No gaps, no handoffs, no finger-pointing between vendors.
Speed to Value
Our structured approach and reusable accelerators mean faster time to production. 90-day quick wins demonstrate value while we build for the long term.
From First Call to Production
We follow a structured approach designed to maximize the probability of production success while minimizing wasted investment.
Discovery & Assessment
- Understand business objectives
- Assess data and infrastructure readiness
- Identify high-impact opportunities
Deliverable: AI Opportunity Assessment
Architecture & Design
- Design production-ready architecture
- Define data requirements
- Plan integrations
Deliverable: Technical Architecture Plan
Development & Iteration
- Agile development
- KPI gate validation
- Continuous testing
Deliverable: Working System
Production Deployment
- Staged rollout
- Monitoring setup
- Team training
Deliverable: Production System
Continuous Improvement
- Performance optimization
- Model retraining
- Capability transfer
Deliverable: Improving System
Discovery & Assessment
- Understand business objectives
- Assess data and infrastructure readiness
- Identify high-impact opportunities
Deliverable: AI Opportunity Assessment
Architecture & Design
- Design production-ready architecture
- Define data requirements
- Plan integrations
Deliverable: Technical Architecture Plan
Development & Iteration
- Agile development
- KPI gate validation
- Continuous testing
Deliverable: Working System
Production Deployment
- Staged rollout
- Monitoring setup
- Team training
Deliverable: Production System
Continuous Improvement
- Performance optimization
- Model retraining
- Capability transfer
Deliverable: Improving System
Service Comparison
| Service | Timeline | Team Size | ROI Calculator | Best For |
|---|---|---|---|---|
| Agentic AI Systems | 2–4 weeks (design+pilot), 6–8 weeks (pilot→prod) | architect, MLE, FE, BE, PM; security reviewer on demand | Available | CTO/CIO, AI Lead |
| GenAI Product Accelerator | 4 weeks (MVP), 6 weeks (production-ready with full evals and monitoring) | architect, MLE, FE, BE, QA; security reviewer for prod | Contact | Product Lead, Engineering VP |
| Computer Vision FastTrack | 4 weeks (PoC), 8 weeks (production-ready with MLOps) | CV lead, MLE, edge dev, FE, QA; ops reviewer for deployment | Available | Operations VP, CV Engineer |
| Data & Analytics Platform | 3–6 weeks | Data EngineerFrontend Dashboard DeveloperData AnalystProject Manager | Contact | Data Lead, Analytics VP |
| MLOps & Model Operations | 3–5 weeks | ML EngineerPlatform EngineerDevOps LeadQA Engineer | Contact | ML Platform, DevOps Lead |
| Platform Modernization | 4–8 weeks | Solution ArchitectBackend EngineerDevOps LeadQA Engineer | Available | CTO, Platform Eng |
| AI Security & Compliance | 4–8 weeks | Security ArchitectML Security EngineerCompliance LeadDevSecOps Engineer | Contact | CISO, VP Engineering |
| Product Pods | Ongoing engagement; monthly or quarterly renewal | Pod Lead (1 FTE): sprint planning, risk mitigation, stakeholder syncFrontend Engineers (2 FTE): component library, UI/UX, accessibility, performanceBackend Engineers (2 FTE): API design, data models, integrations, securityQA Engineer (1 FTE): test automation, regression, performance, bug triageProduct Manager (0.5 FTE): feature prioritization, acceptance criteria, metrics | Contact | CPO, Engineering VP |
| AI Platform & Orchestration | 3-5 weeks | architect, MLE, platform eng, QA | Available | AI Platform Lead, CTO |
| Rapid Prototyping Lab | 2 weeks | architect, UX, FE, MLE/BE (spike) | Available | CTO/CIO, Product Lead |
| Integration FastTrack | 3–6 weeks depending on protocol count and vendor responsiveness | Integration lead, BE, BE/SRE, QA, architect; optional security reviewer | Available | Integration Eng, Platform Eng |
| Rails Upgrades without Feature Freeze | 4-8 weeks | Rails lead, BE, SRE/DevOps, QA, Sec reviewer | Contact | Rails Lead, Backend Eng |
Common Questions
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Industries We Serve
AI Products
Ready to Ship AI That Works?
Let's discuss your AI initiative. Whether you're starting fresh, rescuing a stalled project, or scaling what's working, we'll give you an honest assessment of what it takes to succeed.