Our Services
Custom AI solutions built for your unique business needs
We work across four areas, and most engagements draw on more than one - an agent is only as good as the data beneath it, and code that ships fast still needs a second pass. Whether you need a single chatbot or an end-to-end platform, the engineering bar is the same: built to run in production, instrumented so you can trust it, and handed over with the context to maintain it.
Custom AI Agent Development
Build bespoke AI agents tailored to your business. Customer support, sales automation, document processing, and intelligent assistants that integrate with your workflows.
We design the agent around a real workflow, not a demo. That means grounding it in your own data, wiring it into the tools your team already uses, and putting guardrails between the model and anything it can change. You get an assistant that does useful work and a clear record of what it did and why.
A working agent integrated with your stack, not a prototype
Retrieval grounded in your documents and systems of record
Evaluation and monitoring so quality is measurable over time
Codebase Auditing
A managed deep-audit of your (often AI-generated) codebase across seven dimensions — AI-codegen failure modes, architecture, security, performance, maintainability, documentation, and test coverage. Every finding comes back root-caused as a fix-ready spec.
AI writes code fast and ships the happy path; the audit is the slow, skeptical second pass. We read the repository cold, raise findings across every dimension, and run each one down to a confirmed root cause. Nothing is edited in place — you receive specs a human or a coding agent can apply, so the diff stays reviewable.
A ranked report of root-caused findings, not raw warnings
A fix spec and reproduction script for each confirmed issue
A clear read on where AI-generated code is most likely to break
AI Agents & Automation
Autonomous AI agents for workflow automation, document processing, and intelligent decision-making. Our specialist agents — Yara, Yada, Yopa, and Ycoa — handle data analysis, admin tasks, operations, and compliance with full audit trails.
For the repetitive, high-volume work that eats a team's time, we build governed automations that run on their own and hand off to a human at the points that matter. Every action is logged and attributable, so an automation you can trust is also one you can audit when someone asks what happened.
Specialist agents scoped to a concrete operational job
Human-in-the-loop approval at the steps that carry risk
Full audit trails for every automated action
Data Platform & Pipelines
End-to-end data infrastructure built by FAANG engineers. ETL/ELT pipelines, data lakes, real-time streaming, and cloud-native architecture on AWS, GCP, or Azure.
An AI system is only as trustworthy as the data underneath it. We build the pipelines, quality checks, and storage layer that turn scattered, disagreeing sources into clean state your applications and agents can rely on — engineered to scale and instrumented so you know when something drifts.
Governed ETL/ELT pipelines with quality checks built in
Real-time and batch processing on AWS, GCP, or Azure
Cost-optimized infrastructure that scales with your data
How an engagement works
However we work together, the path is the same — designed to get you to a production-grade result without the false starts that sink most AI projects.
Step 1
Discovery
We start from the outcome you need and map the workflow, data, and constraints before proposing anything.
Step 2
Scoped plan
You get a concrete plan — what we build, in what order, and how we will know it works — before commitments are made.
Step 3
Build & integrate
We build on solid data and wire the solution into your existing stack, with evaluation and monitoring from day one.
Step 4
Operate & improve
AI drifts as your business changes; we keep it correct over time with ongoing evaluation and support.