Agentic AI workflows
AI that ships. Data that stays put.
We build AI-driven workflows end to end — retrieval over your corpus, agents with guardrails, structured extraction, evals — for organizations where “just send it to the API” was never an option. We’ve shipped in protected industries, and the deployment options match: private AI on dedicated hardware for the sensitive workflows, frontier cloud models under zero-data-retention terms for everything else.
self-hosted models · your hardware
handles → PHI, privilege, trade secrets
models inside your tenancy
handles → regulated internal data
Claude / GPT · zero-retention terms
handles → everything else, at full capability
What we build
Agentic AI systems, implemented end to end.
LLM systems integration
Wiring language models into the software you already run — CRMs, EHRs, case management, internal tools. APIs, not copy-paste workflows.
Private AI deployment
Self-hosted models on dedicated hardware, in your data center or ours — for workflows where the data can't leave, period. Sized, tuned, and maintained.
Retrieval & data pipelines
Document processing, embeddings, and search over your actual corpus — contracts, records, filings — with permissions that mirror your access model.
Agentic workflows
Multi-step automation with guardrails: intake triage, document review, reconciliation. Humans approve; agents do the legwork.
Evaluation & guardrails
Eval suites, red-team passes, and output validation so you know accuracy before your users find out for you.
Model routing & cost control
Sensitivity-based routing across private and cloud models, with usage metering and per-workflow cost visibility.
# where inference runs, by classification
phi_and_privileged:
target: private-inference
hardware: dedicated, ours-or-yours
egress: none
internal_regulated:
target: vpc-hosted models
tenancy: customer-owned
general:
target: frontier cloud (Claude, GPT)
retention: zero — contractual ZDR
training_on_your_data: false
Deployment options
Private AI when it must be. Frontier models when it can be.
Not every workflow needs the same boundary, and pretending otherwise costs you either capability or compliance. We run private, self-hosted models for the workflows where data genuinely cannot leave — and route everything else to frontier cloud models under zero-data-retention agreements, so you get state-of-the-art capability without your data becoming someone’s training set.
- ✓Private inference on dedicated hardware — on-prem or hosted by us
- ✓Frontier cloud models (Claude, GPT) under zero-retention terms
- ✓Classification-based routing, enforced at the gateway and audit-logged
Industries
Built where the data rules are real.
Our background is in protected industries — the places where a data processing agreement is the start of the conversation, not a formality at the end.
Healthcare
HIPAA · PHI handlingClinical documentation, prior-auth workflows, and patient-facing tooling where PHI routes to private inference and never touches a third-party API.
Financial services
SOC 2 · FINRA-adjacentDocument intelligence for filings, KYC intake, and research workflows inside environments where retention policies are audited, not assumed.
Legal
Privilege · confidentialityReview and drafting assistance where privileged material stays inside the firm's boundary — and where 'the model trained on our matter' is a firable sentence.
Public sector & adjacent
Residency · clearance-awareSystems for organizations with data-residency mandates and personnel constraints on who — and what — can see the data.
How we engage
Weeks to a working system, not quarters to a deck.
Scope
We map the workflow, classify the data, and agree on the boundary — what may leave, what may not, and who signs off. Fixed scope, written down.
Pilot
A working system on real data inside the agreed boundary, in weeks. Evals from day one, so the go/no-go decision is made on measurements.
Production
Hardening, monitoring, access controls, and audit logging. The system passes your security review because it was designed for it — not retrofitted.
Handover
Documentation, runbooks, and training for your team. We stay on for support if you want us — not because you're locked in.
Get started
The engines are already
answering for you.
Tell us what you’re trying to get cited for — or what we should build. We’ll come back with a baseline and a fixed-scope plan, usually within a week.