Build01
AI Agent development
Design and ship task-specific agents with clear guardrails, tools, and handoff paths.
AI Automation & Validation
AI-Powered Automation & QA Testing For Teams That Need Proof.
We help startups and product teams design practical AI systems, validate them properly, and ship with evidence instead of guesswork.
15+
checks per release
2.4x
faster triage
93%
sample readiness
100%
evidence-based sign-off
Tools and platforms used by VeraxaAI
SeleniumPythonPostmanOpenAILangChainDockerKubernetesAWSGCPReactNext.jsNode.jsJMeterPlaywrightSeleniumPythonPostmanOpenAILangChainDockerKubernetesAWSGCPReactNext.jsNode.jsJMeterPlaywright
Built for startups, fintech, healthcare, and regulated products
Problem
Most AI projects fail at the handoff to reality.
Teams ship prototypes that look convincing in demos, then break when users, edge cases, and production data show up.
We build the proof path up front, so launch day is not a gamble.
What breaks first
- No validation plan before launch
- Prompt logic hidden in brittle scripts
- Observability added after incidents
Prototype
Fast
Looks good in the room, fragile in the wild.
Production-ready
Provable
Clear checks, clear metrics, clear failure modes.
Services
Three services that turn AI ideas into reliable systems.
We can help from greenfield build to hardening an existing workflow, always with explicit checks and measurable outcomes.
Prove02
AI Validation
Test prompts, tools, and workflows against real cases before they reach users.
Automate03
Workflow Automation
Replace repetitive manual steps with agentic workflows that stay observable.
Proof signals
What gets measured gets shipped.
A quick snapshot of the kinds of evidence we produce: coverage growth, sign-off readiness, and fewer manual steps before launch.
Validation checks
15+
per release
Coverage uplift
+42%
on sample flows
Time to triage
2.4x faster
with automated gates
Sample trend
Validation progress over a release cycle
A simple visual that helps non-technical stakeholders read progress at a glance.
Readiness
93%
AI validation
Testing for systems that never give the same answer twice.
The hard part almost no one offers. Hallucination, prompt-injection, agentic, and regression testing with evidence you can hand to a regulator.
01
Understand the system
Map the inputs, outputs, model boundaries, tool calls, and success criteria — including regulatory constraints, data flows, and failure modes.
02
Build the eval harness
Create repeatable, automated evaluation pipelines with representative datasets, oracles, and metrics that run in CI and record evidence.
03
Attack it deliberately
Red-team the system: prompt-injection, adversarial inputs, and tool-misuse tests to surface safety and robustness gaps.
04
Guard against drift
Add monitoring, regression tests, and retraining/rollback policies so performance degradation is detected and managed.
05
Sign off with evidence
Produce a reproducible validation report with artifacts, logs, and measured SLOs suitable for stakeholders and auditors.
Where we focus
Built for environments where getting it wrong is expensive.
Fintech, healthcare, and regulated products require measurable safety, explainability, and audit trails. We focus on domains where verification is not optional.
Our work
Proof, not promises.
Reference projects and sample deliverables that show our process. We publish what we can — no fake testimonials, only verifiable artifacts.
A1
coming soon
Fintech Support agent (Reference)
Open-source demo of an agentic customer support assistant for payments and disputes. GitHub repo coming soon.
A2
AI Validation report (sample)
Downloadable sample validation report showing metrics, test harness, and evidence used to sign off.
B1
Automation Framework (sample)
A sample automation framework that wires LLM checks into CI for regression and performance tests.
// This section fills with real case studies as engagements complete. Honesty over fake testimonials.
Shipping AI you're not sure about?
Tell us what you're building. We'll tell you honestly whether it's ready — and what it takes to get there.