AI Apps Built for the Real World
From AI chatbots and document Q&A systems to autonomous agents and custom ML integrations — we ship AI products that actually solve problems, not just demos that go viral.
Practical AI, Production-Grade
The AI hype is real, but a working production system is a different problem from a working demo. Latency, cost, hallucination guardrails, evaluation, observability — these are what separate a useful AI product from a science experiment.
We build AI applications that survive contact with real users: properly scoped, reliably tested, and continuously evaluated. The model is one component; the surrounding system — retrieval, prompting, fallbacks, monitoring — is what makes it actually work.
Equally important, we tell you when AI is the wrong tool. Sometimes a database query, a regex, or a Zap is faster, cheaper, and more reliable. We optimize for outcomes, not for tech-stack signaling.
Six Core AI Product Types
Each one battle-tested in production for real businesses with real SLAs.
AI Chatbots & Assistants
Customer-facing bots, internal Q&A assistants, and AI co-pilots embedded in your existing tools — trained on your specific docs and policies.
- Website & WhatsApp bots
- Slack / Teams co-pilots
- Tone & persona tuning
RAG & Document Q&A
Retrieval-augmented systems that let users ask natural-language questions over your private knowledge base — manuals, contracts, policies, support history.
- Vector search architecture
- Citation-grounded answers
- Permission-aware retrieval
Autonomous AI Agents
Agents that don't just answer questions — they take actions: file tickets, draft replies, run reports, kick off workflows. Built with safety rails and audit trails.
- Tool-using LLM agents
- Multi-step task execution
- Human-in-the-loop checkpoints
Custom Model Integration
OpenAI, Anthropic, Google, open-source — we pick the right model for the job (and the right cost), and integrate it cleanly into your stack.
- Multi-provider routing
- Fine-tuning where it pays off
- Self-hosted open models when needed
AI Workflow Tools
Internal tools that use AI to amplify your team — content generation, summarization, classification, lead scoring, content moderation, and more.
- Bulk content generation pipelines
- Summarization & classification
- AI-assisted internal dashboards
AI Strategy & Audits
For teams not sure where to start. We map your business processes, identify the highest-ROI AI opportunities, and produce a roadmap you can actually execute on.
- Opportunity mapping
- Build-vs-buy analysis
- ROI & risk modeling
Models & Tools We Work With
Provider-agnostic. We pick what's best for your use case, latency budget, and cost ceiling.
From Idea to Shipped Product
Four stages, designed to de-risk AI projects fast.
Discovery & Feasibility
Sometimes AI is the right answer. Sometimes it isn't. We figure out which before anyone signs a contract.
Prototype
A working proof-of-concept in 1–2 weeks, with the actual model behavior on your actual data — not on cherry-picked examples.
Productionize
Evaluation harnesses, observability, cost guardrails, fallback paths. The unsexy stuff that makes AI products survive Mondays.
Iterate & Improve
Real-user behavior beats benchmarks. We monitor, evaluate, and tune the system based on what users actually do.
Let's Pressure-Test It Together
Free 30-minute call. Bring your idea, your constraints, and your data — we'll tell you honestly what's feasible, what isn't, and where the real value lives.