We assess where AI can move a metric that matters, build the roadmap, then build the system, same team start to finish. Validated with a working prototype, not just a strategy deck.
Trusted by engineering teams across 15+ countries
From startups to Fortune 500 companies
Common Pain Points
These are the exact problems our clients came to us with before we built their AI agents.
You paid for a roadmap. Six months later it's still a PDF.
Same team writes the roadmap and builds it. No handoff.
The demo worked. Nobody could tell if it kept working once real users hit it.
Evaluation and cost tracking built in from week one, not bolted on after.
Models change every few months. Without anyone watching, your AI feature quietly degrades.
We monitor quality and handle model upgrades so performance holds.
Service Overview
We assess where AI can move a metric you care about, design the roadmap and architecture, then build it with the same engineers throughout. Not a slide-deck audit that ends before code ships. Not a chatbot bolted onto your product and called a strategy. We validate every use case with a working prototype before recommending a full build, so the decision rests on your data, not a pitch.
TECHNICAL DEPTH
We audit your systems and data to find where AI can move a metric that matters, then sequence a phased roadmap
Tech Stack
Ticket-history audit found roughly a third of inbound volume fit patterns an agent could handle, scoped into a phased build instead of a blanket rollout.
WHY CHOOSE US
Strategy and build sit with the same engineers. What gets recommended gets shipped
We've shipped production LLM and agent systems before your engagement starts.
We validate with a working prototype before recommending a full build.
Models change every few months. We monitor quality and handle upgrades.
OUR PROCESS
From first brief to shipped product. Transparent, iterative, and built around your goals.
INTEGRATIONS
Our agents connect to your existing stack through native APIs and secure connectors, no rip-and-replace required.
TECH STACK
OpenAI
Claude
Gemini
LangChain
Pinecone
AWS
Azure
Google Cloud
LangGraph
CrewAICOMMON QUESTIONS
We assess before we build, and the team that designs the architecture builds it. If the answer is "don't build this," we say so in Phase 1.
Tell us the metric you want AI to move. We'll scope an assessment, evidence included.
