Ship faster
Break nothing

We embed with your team, build QA from scratch, and fix what we find.

trusted byClinical AI·Pharma AI·Cybersecurity·Browser Agents·Dev Tools
QA as a Service
AI-Led Development
Production Reliability
SOC 2 Ready
HIPAA Compliant
ISO 27001
Zero-Retention LLM
GoogleawsYCombinator

Engineers who built at Google and AWS. Founders from YC-backed startups. All trust shellexa with their quality.

How We Work

We embed. We test. We fix. We ship.

Embed

Join your team, learn the product

Map

Define workflows, risks, and edge cases

Find & Fixdifferentiator

We find it. We fix it.

checks47 / 47
Ship

Regression coverage and handoff docs

QA as a ServiceAI-Led DevelopmentAI Agent ReliabilitySecurity & Compliance

Results

Proof from real engagements.

NDA-protected. Industry tags only. Real timelines, real outcomes.

Zero

production incidents after QA-led review

64%

faster review cycles, validated in production for 6+ months

<1 hr

for agents to surface 23 vulnerabilities pre-launch

0

rework requests in 60 days post-launch

Legal Technology

Autonomous contract review agent deployed with verified output controls.

Zero hallucinated clauses recorded in the monitored production workflow.

Proof

64% faster review

Timing

Production monitored for 6 months

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Digital Health

Claims verification workflow automated with HIPAA-safe controls.

Full intake workflow automated with compliance controls and auditability in place.

Proof

100% standard intake automated

Timing

6-8 hours recovered weekly

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SaaS / Workflow Tool

Workflow platform built and shipped with embedded QA in a single sprint cycle.

Zero rework requests in the first 60 days of production use.

Proof

0 critical issues at launch

Timing

Delivered in 3 weeks

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AI Security

Agent-driven audit caught 23 vulnerabilities before launch.

Security agents surfaced 23 issues in under an hour. Agent-drafted, human-reviewed fixes shipped the same day, with zero incidents after.

Proof

23 issues in under an hour

Timing

Critical fixes shipped same day

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The Fit

Built for product and engineering teams that take quality seriously.

Startups & Scale-ups

Shipping fast with no QA function. We build it from scratch and own the outcomes.

  • Seed to Series B
  • No dedicated QA function
  • AI-assisted or fast-moving codebase

Engineering Teams

QA is understaffed and release pressure is growing. We embed as a quality partner, not a report vendor.

  • 10–200 engineers
  • Continuous deployment cadence
  • Regression and release pressure

Regulated Product Teams

Healthcare, legal, finance. We validate the workflows where trust is part of the product.

  • Healthcare · Legal · Finance · Life Sciences
  • HIPAA, SOC 2, GDPR obligations
  • AI systems in regulated workflows

The Team

A focused team. Enterprise-grade delivery.

We are a QA as a Service and AI systems validation firm. Small by design, rigorous by practice. We work with funded startups, scaling engineering teams, and enterprise clients across the US, UK, and EU. We bring the same structured process to every engagement.

Shubham Banerjee

Shubham Banerjee

Founder & CEO

Background in browser automation, API security, and enterprise QA infrastructure across clients in the US, UK, and EU. Has spent years learning how production systems fail and how to build processes that stop those failures earlier.

Sneha Banerjee

Sneha Banerjee

Co-founder, Operations & Delivery

Manages every client engagement from scoping through delivery. Focused on regulated industry workflows and making sure every report we send is something a client can act on immediately.

NDA-protected engagements
Regulated industry experience
Enterprise delivery process

Based in Noida, India. Incorporated as SHELLEXA INFOTECH PRIVATE LIMITED.

Ship faster without letting quality become the bottleneck.

If your team needs QA coverage, AI-agent validation, or a production system built the right way, let's scope the work and decide whether the fastest path is testing, hardening, or owning the build.

We respond within 24 hours. Direct conversation with the people who'll test, harden, and validate the system.