Build AI applications that work in production
We integrate LLMs, agents, and automation into your applications. From API design to deployment, we help engineering teams ship AI features reliably.
What We Build
We specialize in production-ready AI integrations for web applications, mobile apps, and internal tools.
LLM Applications
Build applications powered by GPT-4, Claude, or open-source models. API integration, prompt engineering, context management, and streaming responses.
AI Agents
Autonomous agents that complete tasks using tools and function calling. Planning, execution, error handling, and human-in-the-loop workflows.
RAG & Embeddings
Retrieval-augmented generation for document analysis, search, and Q&A. Vector database setup, chunking strategies, and relevance tuning.
Workflow Automation
Automate business processes with AI. Email processing, data extraction, content generation, and integration with existing systems.
Industries We Work With
We've built AI features for companies across healthcare, finance, education, and operations.
Healthcare
Medical documentation, patient screening
Finance
Document analysis, risk assessment
Education
Content generation, tutoring systems
Operations
Process automation, data extraction
How We Work
Our process is designed to get you from idea to production quickly, with regular feedback loops.
Discover
We review your use case, discuss technical requirements, and scope the first iteration. Typical kickoff call: 45-60 minutes.
Build
We build a working prototype or MVP. Focus on core functionality first. Regular check-ins (daily or every 2-3 days) to show progress.
Deploy
We deploy to staging/production, set up monitoring, and document the system. Handoff includes code walkthrough and operational runbook.
Improve
We monitor performance, fix bugs, and iterate based on real usage. Optional ongoing support available.
Example Projects
Real projects we've built for clients (details anonymized).
Healthcare Documentation Assistant
LLM-powered system that generates patient notes from voice recordings. Integrated with existing EHR system via FHIR API.
Financial Document Analyzer
RAG system that answers questions about financial documents (10-Ks, contracts). Vector search across 50k+ pages.
Customer Support Agent
AI agent that handles tier-1 support tickets. Routes complex issues to humans, automates simple requests.
Responsible AI & Security
How we approach data privacy, model security, and testing.
Data Privacy
- • No training on your data without explicit consent
- • Support for self-hosted and on-premise models
- • Clear data retention and deletion policies
- • GDPR and HIPAA-compliant architectures available
Model Security
- • Prompt injection defenses (input validation, output filtering)
- • Rate limiting and cost controls
- • API key rotation and secret management
- • Monitoring for abuse and anomalous usage
Testing & Validation
- • Automated testing of prompts and outputs
- • Human evaluation for quality assurance
- • Performance benchmarks (latency, accuracy, cost)
- • Fallback strategies for model failures
Transparency
- • Clear disclosure when AI is being used
- • Confidence scores and uncertainty quantification
- • Audit logs for all AI decisions
- • Human oversight options for critical workflows
Ready to integrate AI into your application?
Schedule a call to discuss your use case. We'll review your requirements and propose a technical approach.
Schedule a Call