Platform Lock-in
You built on a vibe coding platform. Now you can't customize deeply, migrate, scale, or integrate payments and enterprise auth. Your product lives inside someone else's ecosystem.
AI pilot that won't ship? AI shipped, but misbehaving? We build, rescue, and operate AI-native systems — agents, agent harnesses, LLM integrations, RAG, and the engineering that keeps them running.
The Bridge
AI tools let you build and ship faster than ever — generate an app, wire up an agent, reach a working prototype in days.
But the gap between a working prototype and a production system — security, scale, reliability, cost, observability, governance — is still an engineering problem. And it doesn't end at launch.
That's the part we own. You move fast; we make it hold up in production — and keep holding up after it ships.
The Gap
For systems being built, systems being shipped, and systems already running.
You built on a vibe coding platform. Now you can't customize deeply, migrate, scale, or integrate payments and enterprise auth. Your product lives inside someone else's ecosystem.
You bought marketplace agents that can't integrate. You tried building agents but hit orchestration complexity. Or you have working agents but can't maintain, debug, or control costs.
You shipped — and now it's misbehaving, expensive, or hard to govern. No observability. No evaluation. No drift detection. Flying blind in production.
Rescue & Extend
For teams locked into no-code or AI-builder platforms.
Dependency scan, security review, and scalability assessment of your vibe-coded app.
Remove vendor lock-in and deploy to your own infrastructure. You own it, fully.
Custom backends, integrations, and enterprise auth — what the platform can't do.
Continued development on your now-independent app. We stick around.
AI Agents
Build, rescue, extend, and operate production AI agents.
Use-case mapping, framework selection (LangChain, CrewAI, custom), and system design — before you write a line of code.
Purpose-built agents for customer support, data processing, and sales operations — with LangChain, Vertex AI, and MCP.
Stabilize off-the-shelf or poorly-built agents. Refactor, add guardrails, and make them production-reliable.
Connect your agents to real systems — CRMs, databases, APIs, and internal tools via Model Context Protocol.
Monitoring via LangFuse, prompt tuning, cost optimization, and model iteration. Continuous visibility into latency, cost, and behavior.
Add new capabilities, tools, and knowledge sources to existing agents as your business evolves.
AI Features
Add LLM-powered intelligence to your existing products.
Add AI features — summarization, extraction, chat, classification — to your existing apps. Not a toy demo. Production-grade.
Document ingestion, embedding, retrieval, and generation — with proper evaluation so you know it's working.
LangFuse integration, cost tracking, quality metrics, and drift detection. See what your AI is doing, and what it's costing.
An embedded engineer guiding your team's AI buildout, part-time. Architecture decisions, code reviews, and mentorship.
Tooling
This is what we actually use — not a wish list, the bench we deliver from.
Orchestration
LangChain for building, chaining, and managing production AI agents.
Models
Google Vertex AI, grounding with Search for factual, sourced responses.
Observability
LangFuse for tracing, cost tracking, prompt analytics, and quality evaluation.
Integration
MCP (Model Context Protocol) for connecting agents to CRMs, APIs, and databases.
Infra
Full-stack development, DevOps, CI/CD, Docker, and cloud infrastructure.
Stack
Python, Go, C++, Node.js, React, Angular, IoT & edge computing, and CRM platforms.
Why Us
01
We start from what you've built — your vibe-coded app, your marketplace agent, your prototype. We extend, stabilize, and production-harden. No ego, no "throw it away and start over."
02
LangChain, LangFuse, MCP, Vertex AI — we build with these daily. This isn't a capability we're selling aspirationally. It's the stack we deliver from.
03
We don't stop at advice — we write the code, deploy the systems, and maintain them. The people you talk to are the people who build.
04
We were shipping enterprise software before AI. We know what "production-ready" means — testing, monitoring, security, and scale.
Read · POV
A point-of-view piece on the four disciplines — evaluate, guard, observe, govern — that turn an AI demo into a system that survives quarterly review.
Most teams don't fail because AI didn't work — they fail because they tried to ship without the systems behind it, or stopped engineering once it shipped. Tell us what you've built; we know how to make it run.