Hi, we help businesses build AI systems for real environments.
We’ve spent more than fifteen years on projects that range from retrieval systems to document pipelines to custom language models that can handle unpredictable inputs, uptime requirements, monitoring, retraining cycles, and ongoing updates.
15+
Years Experience
30+
Startups Launched
150+
Solutions Built
50+
Happy Clients
Our Story
We started building AI systems before "AI" was a buzzword. Back when we had to build everything from scratch. We learned quickly where systems broke, why they broke, and how far a prototype is from something that can survive production.
Since then, we've worked with 30+ startups and have built 150+custom AI solutions. Some were RAG pipelines for enterprise search. Others were document processing systems handling millions of pages. A few were speech-to-sign-language translators with 3D avatars.
The domains were different, but they all had one thing in common: Every build was judged by how well it handled real-world demand, not how good the demo looked.
Today, we're a team of AI engineers who share that same obsession with production-ready systems. No throwaway builds. No surface-level fixes. The goal is a system that runs cleanly and can be maintained and scaled without fear.
Deep Technical Expertise
LangChain, vector databases, LLM orchestration, custom ML models. We don't just use these tools, we understand how they work under the hood.
Production Mindset
Anything we build has to operate at scale, be monitored properly, and be easy to update. The details matter more than the pitch.
Clear Communication
We speak both engineer and executive. You'll always know what we're building, why we're building it, and when it'll be ready.
Core Expertise
These are the areas where we've built the most production systems and delivered the most value.
RAG & Vector Search
- LangChain pipelines
- Pinecone, FAISS, Chroma
- Citation-backed responses
- Enterprise knowledge search
LLM Integration
- OpenAI function calling
- Multi-turn conversations
- System prompt engineering
- Tool use orchestration
Document Processing
- OCR pipelines
- Named entity recognition
- Auto-classification
- Summarization systems
Automation
- Prompt chaining
- Structured output generation
- Report automation
- Proposal generation
Custom ML
- Entity extraction models
- Content filtering
- Behavior scoring
- Predictive analytics
Cloud AI
- AWS SageMaker, Textract
- Azure OpenAI, Cognitive
- Model deployment
- Scalable architectures
Let's Discuss Your Project
Whether you need a full AI system or just expert guidance, let's talk
