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Where a small model wins

The workflows we build.

Same engineering every time — evaluate, fine-tune, deploy privately, monitor. Different data. The list below groups them by the constraint they solve: the API bill, the revenue stack, the regulator, and the edge.

Book The Crit How to choose
How to choose

Choose by constraint, not by industry. If the API bill is the pain, start in the cost cluster; if CRM data can't leave, start in the revenue cluster; if a regulator reads your data-flow diagram, start in the regulated cluster; if the work happens off-network, start at the edge. If two fit — or none obviously do — book the audit: The Crit picks for you, with numbers.

Cut inference costs
LLM→SLM MigrationReplace routine frontier calls with a fine-tuned model you own. Published migrations cut inference costs 66–80% (Forethought/AWS).→ Model RoutingRoutine requests run local; the hard ones escalate. You pay for reasoning only when the task earns it.→ Support AutomationTier-1 tickets resolved by a model trained on your own resolutions — verified on your ticket history first.→ Document ProcessingInvoices, contracts, and forms read in your perimeter. Structured data out; nothing sent to a third party.→
Run revenue on models you own
Private Lead ScoringIntent and fit scoring inside your VPC, trained on your closed-won deals. Your CRM never leaves for a third-party API.→ CRM Data ExtractionEmail and Slack threads become structured CRM fields — privately, with per-field accuracy measured.→ Data EnrichmentTitles, industries, and companies normalized for fractions of a cent. A node in your Clay stack.→ Outbound Personalization100,000 personalized emails on a model you run yourself. The math changes what's possible.→
Private by architecture
Legal Document IntelligenceCase files answered with citations, inside the firm — with the trail your COLP can produce on request.→ Compliance & KYC ScreeningAlert triage on a model your regulator can inspect — model, data, and logs all in your perimeter.→ Insurance Claims ProcessingFNOL, loss runs, and claims documents extracted into your systems — on your infrastructure.→ Healthcare DocumentationNotes drafted where the data lives. Nothing transits a third-party API; clinicians sign everything.→
Operations & edge
Offline Field AIModels on the tablets your crews already carry — construction sites, warehouses, farms. No signal required.→ Agent Tool CallingSmall models as the reliable organs of an agent: function calling, SQL, structured JSON — valid by construction.→ Catalog SearchCustomers ask in plain language; a local model finds the product. Your search engine stays where it is.→

The workflows, tested in the open. The ones with measured pull become the studio's focus — every tile links to the full teardown.

Security · by architecture

Nothing leaves your cloud.

  • Lives in your private cloud
  • No third-party AI processors
  • Never trains anyone else’s model
  • Audit trail by default
Architected to deploy inside your compliance perimeter
GDPR SOC 2 ISO 27001 HIPAA DORA
Small models · critical hits

Your workflow is on this page.

Two weeks inside your traffic, and you know which tile pays for itself — measured on your data, not guessed from ours. The numbers are yours either way.

Book The Crit Or write to hello@crit-studio.com