Build AI-Powered Products That Actually Work
AI is powerful but overpromised. We help you identify where AI creates real value — and ship production-grade features.
Beyond the Hype
AI is everywhere — but not every problem needs it. We help founders identify where AI creates genuine business value versus where simpler solutions work better. Start with the problem, not the technology.
What We Build
Production-grade AI solutions that solve real problems
Custom LLM Integrations
Integrate large language models into your product workflow.
- GPT/Claude integration
- Prompt engineering
- RAG systems
- Fine-tuning & optimization
Intelligent Automation
Automate complex workflows that previously required human judgment.
- Document processing
- Data extraction
- Classification systems
- Decision support
Conversational AI
Build AI-powered chat interfaces and virtual assistants.
- Customer support bots
- Internal knowledge bases
- Multi-turn conversations
- Voice integration
AI-Powered Analytics
Turn data into actionable insights with machine learning.
- Predictive analytics
- Anomaly detection
- Recommendation engines
- Natural language queries
Agentic AI Systems
Build autonomous AI agents that can reason and take action.
- Multi-agent systems
- Tool-using agents
- Workflow orchestration
- Human-in-the-loop design
AI Strategy & Consulting
Figure out if and how AI fits into your product.
- Feasibility assessment
- Use case identification
- Cost-benefit analysis
- Build vs. buy evaluation
Technology Stack
Timeline & Investment
AI projects vary widely. A proof-of-concept can take 2-4 weeks. Production AI features typically take 8-16 weeks. We prototype fast, validate with real users, and iterate.
Engagement models: Cash, equity, or hybrid.
Our Clients
Frequently Asked Questions
Common questions about our services
That's exactly what our discovery phase answers. We help you identify where AI creates genuine value versus where simpler solutions work better. Not every problem needs AI, and we'll be honest about that.
LangChain, AutoGen, CrewAI, Claude (Anthropic), OpenAI, AWS Bedrock, Pinecone, vector databases, and custom ML pipelines. We choose the right tool for your specific use case.
Yes. We regularly add AI capabilities to existing applications — from intelligent search and recommendations to automated document processing and conversational interfaces.
We design AI systems with cost efficiency in mind from day one. This includes choosing the right model size, implementing caching, using batch processing where possible, and monitoring usage patterns.
Latest from the Blog
Have an AI idea? Let's figure out if it's viable.
We'll give you an honest assessment of what AI can and can't do for your product.
Let's Talk