Sense7ai

High-Touch Delivery. Globally Scalable

Regulated enterprises don't hire engineering partners to run experiments. They hire them to ship — under controls, with audit evidence, and without surprising their examiners.

Sense7ai offers three structured engagement types, each scoped to a clear piece of work: agentic AI systems in production, regulated software and data platforms, or an embedded pod that delivers both. Compliance frameworks are addressed per engagement — confirmed during scoping, not bolted on after.

Agentic AI Engineering

Production-grade agentic AI systems for regulated enterprises

Design, build, and ship production-grade agentic systems — observe, reason, decide, and act — with structured traces, deterministic guardrails, and human-in-the-loop on threshold decisions.

What we deliver
  • Agentic system architecture (topology, tools, guardrails, and escalation paths) mapped to your regulatory frame
  • Production deployment into your environment (cloud, on-prem, or hybrid)
  • Structured agent trace pipeline — every consequential action logged and examiner-readable
  • Evaluation harness with task-success rubrics, regression suites, and drift monitors
  • Operating runbook with incident playbooks and rollback procedures
  • Model governance framework including risk assessments, version control, performance monitoring, and explainability documentation
Scope an Agentic AI Engagement

Regulated Platform Engineering

Compliant software and data platforms built for GLBA, HIPAA, and FDA environments

Custom software and data engineering for systems governed by GLBA, FFIEC, HIPAA, FDA 21 CFR Part 11, and FHLB-level vendor diligence — engineered to your current regulatory frame and structured to incorporate AI when your governance is ready.

What we deliver
  • Architecture and data model designed against your regulatory requirements
  • Production software delivered into your repository under your security model
  • Complete validation evidence, traceability matrices, and decision logs
  • Policy and SOP alignment mapped to your existing QMS/GRC
  • Full diligence pack (sub-processor register, DPA templates, incident response runbooks)
  • Operating runbooks and team handover documentation
  • CI/CD pipeline with automated compliance gates, security scanning, and reproducible build provenance
Scope a Platform Engagement

AI Engineering Pods

Embedded engineering teams for regulated AI and software delivery

Dedicated, embedded engineering pods (AI/ML, full-stack, data, DevOps, UX) that function as a seamless extension of your team — shipping directly into your repository under your security model.

What we deliver
  • Dedicated pod of 2–8 engineers with the exact skill mix needed (including agentic AI specialists)
  • Named Sense7ai Engineering Lead who owns technical delivery and day-to-day coordination
  • Two-week sprint cadence with detailed plans, backlog grooming, and written sprint reviews
  • Production-ready code delivered every sprint, complete with architecture diagrams and validation evidence
  • Full audit trails for all changes and structured traces for every AI/agent action
  • Integration with your tools, CI/CD pipelines, and compliance frameworks
  • Monthly steering reports, quarterly executive reviews, and a defined exit and knowledge-transfer plan from day one
Request a Pod Scope

The common thread

Each model lets us enter at a clear, defensible point, prove engineered delivery, and expand naturally. You own all IP, code, and documentation from day one.

We do not guarantee audit outcomes — that responsibility lies with your auditors and regulators. What we guarantee is high-quality, well-documented delivery that puts you in the strongest possible position on inspection day.

Where to start
Schedule a scoping callCheck out our security