We engineer autonomous agents for regulated industries, built on a foundation of deep software quality assurance. We also provide standalone production reliability testing for enterprise teams.
Our Architecture & Approach
In regulated environments, the hardest challenge isn't getting an AI to answer a question; it's guaranteeing that answer won't trigger a compliance violation, break a downstream system, or require a human to fix it. We build autonomous agents from the ground up, wrapped in the safety nets required to prevent those failures.
If an agent is allowed to guess, it will eventually guess wrong. We prevent this by enforcing strict rule schemas, explicit failure paths, and hard-coded workflow boundaries.
You can't fix what you can't see. We wrap every agent in live evaluation harnesses that catch hallucinated data, detect policy drift, and track every API call.
Autonomous does not mean unsupervised. We design clear escalation triggers so that edge cases are instantly routed to human experts before a mistake hits production.
When an agent makes a decision in a regulated space, you need to know exactly why. We build infrastructure that logs every token, reference, and reasoning step.
Vertical Agents
We do not sell off-the-shelf software. We act as your specialized engineering partner, custom-building deterministic AI agents tailored to your exact operational requirements. Here is what we build:
Agents operating within HIPAA environments. Automating clinical and administrative workflows with deterministic output validation.
Claims verification
Extract structured data from intake, cross-reference eligibility, and flag exceptions; with full audit trails.
Clinical documentation
Convert unstructured provider notes into coded, billable formats in real time with schema enforcement.
High-stakes document analysis with provenance tracking, hallucination controls, and human-in-the-loop escalation.
Contract risk extraction
Identify non-standard clauses, liability exposures, and renewal terms across multi-hundred-page agreements.
Precedent synthesis
Citation-grounded legal research with source verification and confidence-scored output generation.
Agents that resolve, route, and escalate complex support workflows; integrated directly with internal APIs.
Autonomous resolution
End-to-end L1/L2 ticket resolution with context retrieval, action execution, and policy-aware escalation.
Retention signaling
Behavioral drift detection across usage telemetry to trigger intervention workflows before churn.
Foundation
When an LLM is wrong, it doesn't throw an error—it confidently lies. We embed decades of software testing expertise directly into our AI systems, ensuring models behave with absolute certainty instead of probability.
Shellexa wasn't born in an AI research lab; we were built on software quality assurance. We spent years building the frameworks that prevent mission-critical software from crashing. We bring that exact paranoia to AI.
Enterprise workflows break when AI is allowed to be creative. You cannot solve hallucination with better prompts; it is fundamentally a software testing problem. We test agents like we test banking infrastructure.
QA is not a final check before deployment; it is the core infrastructure. By wrapping every agent in continuous testing pipelines, we catch wrong decisions before they affect your business.
Standalone Services
Before we built AI agents, we spent years ensuring mission-critical enterprise software didn't fail. We offer this exact pedigree as a standalone engineering service. We don't just "do QA"; we architect production reliability.
We architect resilient, CI/CD-integrated testing pipelines. We replace brittle scripts with robust, maintainable frameworks designed to run continuously without false positives.
Traditional QA cannot test non-deterministic models. We build custom evaluation harnesses to catch prompt drift, hallucinated data, and edge-case failures before production.
Mission-critical systems cannot regress. We map your entire application surface area and implement strict test boundaries to ensure new deployments never break existing workflows.
We simulate high-concurrency environments and benchmark API limits to identify memory leaks, latency bottlenecks, and scalability thresholds under extreme load.
Automated scripts only check what you tell them to. Our engineers systematically hunt for unmapped edge cases, security flaws, and complex user journey breakdowns.
We embed with your engineering leadership to build a culture of quality. We define test strategies, select tooling, and structure release processes for zero-defect deployments.
Engagement
4 weeks
We characterize one workflow end-to-end: mapping bounds, feasibility, architecture, and delivering a proof-of-concept deployed in your environment.
Ongoing
Full agent engineering and operation. We handle the build, evaluation infrastructure, production deployment, and continuous monitoring.
Strategic
Long-term co-development of your AI platform. Dedicated engineering capacity, shared roadmap, and progressive autonomy transfer to your team.
Begin
Whether you need to deploy an autonomous agent into a regulated environment, or require standalone quality engineering for mission-critical software, we begin every engagement with a rapid technical assessment.