We Build AI Systems That Work in Production. Not Demos.

Specialist AI engineering team for legal tech, healthcare AI, finance automation, and SaaS companies. Production-ready systems in 4–10 weeks. Built by engineers who understand compliance, scale, and real-world load.

95%+
Production AI Accuracy
4–10
Weeks from Kickoff to Live System
100K+
Documents Processed Daily
0
Security Breaches Across All Deployments

Production systems built for regulated environments:

CJIS Aligned
HIPAA Compliant
FedRAMP Aware
AWS
GDPR/CCPA
SOC 2 Aligned

What We Engineer

Technical AI capabilities built for production load, regulatory requirements, and real business results — not proof of concepts.

Production RAG & AI Systems

Semantic search across 100K+ documents, sub-second responses, citation-accurate results. Built on AWS Bedrock, LangChain4j, Pinecone, Weaviate. Java backend, production-hardened.

6 hours → 45 minutes per legal research case

Document Intelligence Pipelines

End-to-end automation from raw document ingestion to structured workflow output. AWS Textract (99%+ OCR accuracy), Comprehend NLP, classification, extraction, and system integration.

500+ contracts/month, 80% time reduction, 99% clause accuracy

Enterprise API & Microservices

Java/Spring Boot microservices architecture, RESTful APIs, multi-tenant SaaS platforms, PostgreSQL/MongoDB, Redis, Kafka. Built to handle production load without rewrites.

99.9% uptime across all production deployments

AWS Cloud Engineering

AWS-native architecture using Bedrock, SageMaker, Lambda, EC2, RDS, S3. Kubernetes, Docker, Terraform, CI/CD pipelines. Infrastructure that scales without proportional cost growth.

30–40% infrastructure cost reduction post-migration

Computer Vision & Facial Recognition

AWS Rekognition-based authentication systems, real-time face detection and verification, anti-spoofing, GDPR/CCPA compliant deployment, production-hardened for high-volume check-ins.

10,000+ daily check-ins at 99.8% accuracy

AI Feature Development for SaaS

Add production-grade AI capabilities to existing SaaS platforms — knowledge base search, document Q&A, intelligent workflows, AI copilots. Integrated into your existing stack without a rebuild.

Live AI features in 4–6 weeks from kickoff

Systems We Have Shipped

Real systems. Real load. Real results. Everything below is running in production today.

Legal Tech

Technical Challenge

No scalable search across large case law and contract document repositories. Manual attorney research taking 6+ hours per case with inconsistent accuracy.

Results

  • 70% research time reduction (6 hrs → 1.5 hrs per case)
  • 1,000+ daily search queries handled
  • 95%+ accuracy with source citations
  • $800K annual savings in billable attorney hours
AWS BedrockLangChain4jPineconeJavaSpring BootPostgreSQL
Finance & Insurance

Technical Challenge

Fully manual claims processing at $800K annual cost, 15% error rate, 8-day average resolution creating customer complaints and operational drag.

Results

  • $500K saved annually (63% cost reduction)
  • 85% of claims fully automated
  • Resolution time: 8 days → 3 days
  • Error rate: 15% → 5%
ReactPythonAWS LambdaPostgreSQLAWS Textract
Healthcare AI

Technical Challenge

No early warning system for high-risk patients. Hospital facing $3M+ in annual CMS readmission penalties with an 18% readmission rate and no predictive capability.

Results

  • 39% readmission reduction (18% → 11%)
  • 94% prediction accuracy on at-risk patients
  • $1.2M annual savings in avoided penalties
  • Full HIPAA compliance with audit trails
PythonTensorFlowAWS SageMakerHL7FHIRReact

Industries We Build For

We work where technical mistakes have real consequences — compliance failures, audit findings, patient risk, and financial liability. This is where our engineering depth matters most.

Legal Tech & Law Firms

Document AI, contract analysis automation, legal research RAG systems, clause extraction, air-gapped deployment for sensitive data environments.

Healthcare & Life Sciences

HIPAA-compliant AI pipelines, EHR integration (Epic, Cerner, Allscripts), patient risk prediction, readmission reduction, clinical document processing.

Finance & Insurance

Claims processing automation, fraud detection models, KYC/AML workflow tooling, contract analysis, audit-ready data pipelines.

SaaS Companies Adding AI

Production RAG features, document Q&A, intelligent search, AI copilots — integrated into your existing stack. Live in weeks, not quarters.

Why Engineering Teams Choose Us

Production Experience — Not Portfolio Mockups

Our systems serve 10,000+ daily users, process 100K+ documents, and run at 99.9% uptime. We have never shipped a system that failed in production.

Enterprise Engineering Standards

Java/Spring Boot architecture — not Python notebooks that collapse under load. Code your team can maintain, extend, and scale without calling us every month.

Compliance Built In From Day One

HIPAA, CJIS, FedRAMP, GDPR — we design security and compliance into the architecture, not bolted on at the end. Zero security breaches across all deployments to date.

Speed Without Shortcuts

Production systems live in 4–10 weeks. We run 2-week sprint cycles with working demos every fortnight — not a big reveal at the end.

Honest Technical Advice

If your idea won't work in production, we tell you before you spend money. Free 30-minute technical consultation — no pitch, just honest engineering assessment.

Our Engineering Stack

Production-proven tools — not whatever is trending on GitHub this week.

AI/ML

AWS BedrockOpenAI GPT-4Anthropic ClaudeLangChain4jPineconeWeaviateChromaDBTensorFlowPyTorchscikit-learn

Backend

JavaSpring BootPythonNode.jsRESTful APIsPostgreSQLMongoDBRedisKafkaMicroservices

Frontend

AngularReactTypeScriptNext.js

Cloud & DevOps

AWSDockerKubernetesTerraformCI/CDGitHub ActionsAzureAWS SageMakerAWS Lambda

How We Work

Every engagement starts with agreed success metrics. You know exactly what you are getting before we write a single line of code.

Most Popular
🎯

Project-Based Delivery

Fixed scope. Fixed outcome. We agree on success metrics upfront, deliver in 2-week sprint cycles with working demos throughout, and stay until the agreed numbers are hit. Includes architecture, development, testing, deployment, and 30 days post-launch support. No surprises. No scope creep.

Discuss Your Project →
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Dedicated Engineering Retainer

A dedicated AI engineering team embedded in your product cycle — without the overhead of full-time hiring. Monthly cadence includes active development sprints, system monitoring, performance optimization, and strategy sessions. Ideal for SaaS companies adding ongoing AI capabilities.

Learn About Retainers →
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Technical Advisory

Bring us in for AI architecture reviews, production system troubleshooting, engineering team training, or technical due diligence before a major build decision. Ideal for CTOs and engineering leads who need an expert second opinion.

Book a Technical Call →

Need AI That Actually Works in Production?

Free 30-minute technical consultation. No sales pitch. No obligation. We will assess your requirements, confirm technical feasibility, and give you an honest timeline — before you commit to anything.

Response within 8 hours | Flexible US and UK time zones | HIPAA and CJIS compliant delivery experience