Platform · Advise · Build · Run

One vertical team across the entire AI transformation lifecycle.

Three stages, fully integrated. Each stage builds on the artifacts of the previous one the advisory blueprint becomes the development spec, the development spec becomes the managed-services runbook.

Stage 01

Advisory

Map the value, design the workflow.

We start with the science team, not the slide deck. Identify the workloads where agents create durable margin and the ones where they don't. Translate strategy into agent specs the engineering org can actually build.

AI strategy & opportunity mapping

Portfolio-wide use-case scoring against feasibility, regulatory exposure, and value-at-stake.

Agent workflow design

Persona, tools, evidence boundary, escalation. The blueprint before a line of code.

Process engineering

Re-cut SOPs around agent + human collaboration not just RPA on top of broken processes.

Stage 02

Development & integration

Ship agents into regulated workflows.

We build production-grade agents on a domain-tuned orchestration layer wired into your evidence graph, your CRM, your eTMF, your MLR queue. Sovereign deployment by default.

Architecture & model orchestration

RAG agent core, multi-agent orchestration, domain-tuned model selection across frontier and open-weight.

Data for AI services

Data architecture, semantic retrieval, unstructured data activation across publications, congress, social, ad-boards, CRM.

Agent development

Persona-driven build, fine-tuning on proprietary evidence, evaluation harnesses and red-teaming.

Stage 03

Managed services

Run the agents in production, under your governance.

Most pilots die at handoff. We operate what we build monitoring, retraining, incident response, and the human-in-the-loop reviewers your QA function needs to sign off.

Deployment, ops & monitoring

Performance monitoring, drift detection, learning & feedback services, 24/7 incident response.

AI security

Zero-trust agent access controls, prompt injection defense, output and behavior constraints.

Responsible AI & governance

Trust & compliance frameworks, human-in-the-loop reviewer ops, escalation management, audit trails.

Engage at any stage. Stay through all three.

Start with an opportunity scan, or come to us with an agent already in pilot. The same team carries it through.

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