Where Intelligence Meets Adaptation
QA automation frameworks, AI agent development and testing, custom software, and hands-on consulting for teams putting AI in front of real users.
The foundation of AI you can actually trust in production. Evals are where we go deepest: off-the-shelf frameworks when they fit, and custom eval harnesses built to your architecture when they don't.
An eval suite is a test framework for non-deterministic systems: a graded, versioned definition of what "correct" means for your model or agent, run on every change and in production. We build them from scratch and with tools like Deepeval, Promptfoo, and Braintrust. Increasingly, we build the custom frameworks that exist when nothing off the shelf fits the architecture.
Does the output match ground truth and stay grounded in its context and sources? Reference-based and reference-free scoring, RAG faithfulness, and answer relevance.
Catch fabrications and silent quality regressions as models, prompts, and data shift underneath you: the failures that only surface at inference time.
Grade the whole path, not just the answer: did the agent call the right tools, in the right order, with the right arguments, and recover when a step failed?
Every prompt tweak or model swap runs against a versioned test set with a pass/fail gate, so a "small change" can't quietly break what already worked.
Red-team suites for jailbreaks, prompt injection, PII leakage, and policy violations, measured, tracked, and enforced before they reach users.
Quality is only half the story. We track tokens, cost per task, and tail latency alongside accuracy so you can tune the trade-off deliberately.
Shipping an agent or LLM feature and flying blind on quality? That's exactly the gap we close. Let's scope an eval suite for it.
Talk evalsWhat we build and how we engage
We design and build production AI agents, and every build ships tested, with regression coverage, CI integration, and failure monitoring wired in from day one. Already running agents? We come in and harden those too.
End-to-end test frameworks covering functional, performance, load, and API/contract testing. We use tools like Playwright, Selenium, Cypress, k6, Locust, and others, building custom tooling when nothing off the shelf fits. Designed for maintainability, built for the teams that have to live with them.
AI products fail differently than traditional software. We define what correct looks like, build the test coverage to verify it, and wire it into your pipeline before failures reach users.
Azure DevOps, GitHub Actions, GitLab CI, Jenkins, and more. We build the pipelines that run your tests on every commit and surface failures before they reach production, on whatever platform your team is already on.
Full-stack development from spec to deployment. Internal tools, APIs, and consumer-facing apps. We test everything we ship.
Embedded QA consulting, architecture reviews, and hands-on training for engineering teams adding automation or AI testing to their workflow.
Twenty years in technology. The last ten building test automation frameworks for fintech, insurance, and enterprise SaaS. Moving into AI products was not a pivot. The discipline is the same. The failure modes are not.
LLM outputs do not fail the way traditional software fails. They hallucinate, drift, and degrade in ways that only show up at inference time. Most teams ship AI features without any framework for catching that before users do.
Synaptation is that framework: automation discipline applied to systems that were never designed to be deterministic.
Our first product is live in production. The rest are in active build, described by capability. Names come at launch. Proof that we build with the same methods we sell.
AI-guided guitar learning that adapts to the player. A structured path from first chord to full songs, with AI instruction woven through every step and feedback that meets you where you are. Our first consumer product, live and monetized, built with the same QA and eval discipline we sell.
Visit riffroute.comMulti-endpoint LLM integration and routing platform for developers
Enterprise AI security layer with RBAC and prompt injection detection
Agnostic API surface testing tool for consulting engagements
Custom AI training platform with bring-your-own-key support
Mobile game built entirely through multi-agent orchestration: Codex, Claude, Gemini, and Copilot coordinated under a single workflow
Detailed write-ups in progress
About
Founder, Synaptation. Senior QA automation engineer.
Twenty years in technology, the last ten building test automation frameworks for fintech, insurance, healthcare, and enterprise SaaS. Today I lead QA automation at enterprise scale while building Synaptation's consulting practice and product portfolio.
I started Synaptation to close the gap between what AI products promise and what they actually do. The tooling is young and the methodologies are not settled. That is exactly where I like to work.
If your team is shipping AI features and you are not confident in your test coverage, let's talk.
linkedin.com/company/synaptationTell me what you're building and where it's breaking.