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Salfati Group

AI-Native, Human First

We build the agentic layer inside your product.

For founders and CTOs whose AI feature can't be a chat tab. One senior architect embeds with your team. Agents build on Cambrian, our delivery engine, in your repo. The bar is written into the contract.

01 · The flatline

You shipped the AI feature. Usage flatlined in week two.

The board saw the demo. Your users tried it once. Now the chat tab sits at single-digit weekly use, and even the biggest copilot vendors are walking back their entry points. The feature is not failing because of the model.

AI ASSISTANT · WEEKLY ACTIVE

launchwk 3wk 6wk 9 · 4%

sessions: one-and-done · feedback: ‘almost right’

02 · The insight

Nobody wants to talk to your product.

The chat panel was the fastest thing to build, so the whole industry shipped it. Your users never wanted a conversation. They want their work done, inspectable, inside the views they already trust.

That is the layer we build: woven into your data and your users' judgment. A wrapper can copy a chat tab in a weekend. It cannot copy the weave.

bolted on

woven in

03 · The journey

Your product gains its layer.

The same product, twice: the bolt-on the industry shipped first, then the layer woven into the work.

AI woven into the work, not bolted beside it.

Your users open the product and the work is waiting, inspectable, theirs to approve.

A product screen told in four stages. First, the product today: a familiar table of projects. Second, the bolt-on: a chat sidebar with a sparkle icon and an Ask AI box appears at the edge, a muted red badge reading WAU 4% lands on it, and the panel grays out and slides away dismissed. Third, the weave: table cells fill themselves one by one with small source-count chips, an inline report assembles line by line with a freshness stamp reading rebuilt 2 minutes ago from 14 sources, a trace rail ticks checks replayed, sources pinned, gate yours, and a decision card surfaces with Approve and Hold buttons. Fourth, the morning: a quiet status strip reads 3 drafts ready, 1 needs you, and the report carries a deep green check.

04 · In your team

One architect in your standup.

Agents write the code. The architect and your reviewers gate every merge, in your repo, against your CI. Your engineers pair on the layer from the first sprint and keep it when we step back.

SPRINT 1SPRINT 2SPRINT 3SCOPE GATEyou approve the scopeSHIP GATEyour review merges itYOUR TEAMTHE ARCHITECT

05 · The engine

Cambrian is the engine. The layer is yours.

Cambrian is our delivery system, not a product you install. Agents build your layer on it, locked to your scope at the infrastructure layer.

SHIPS TO YOU · YOUR REPO, YOUR IP

  • The agent service
  • The surfaces in your frontend
  • The skills library
  • The data tools
  • The eval harness
  • On your infra, with your keys

STAYS WITH THE ENGINE

  • The governed memory
  • The live build environments
  • The verification pipeline
  • The playbooks

You get outcomes from the engine. You don't license it, and you don't depend on it after we leave.

How we deliver

06 · The pushbacks

The objections you're already forming.

“We’ll build it ourselves.”
You should own it, and you will: your repo, your IP. The question is the two quarters of delivery plumbing before the first feature: grounding, evals, replay, scope enforcement. We bring that built, so your team starts at the feature.
“I’m not letting an outside firm into my codebase.”
One senior architect, not a bench. Your repo, your standards, your review on every merge.
“Our data is sensitive.”
Your data stays in your environment. Agents run on scoped credentials with no egress past your boundary, and every action lands in the audit log.
“AI is not accurate enough for our users.”
Neither is the raw model. That is the point of the layer: grounded in your data, verified on every change, a human approving what ships. The Mandate prices your KPI above the raw-model baseline, and the price is tied to the curve, not the launch.
“What happens when you leave?”
It keeps running, because it never ran on us. The layer lives in your infrastructure and your CI, your engineers build it alongside the architect, and the Mandate closes with a named handover: runbooks, evals, the pager.

07 · The bar

Priced on the curve that flatlined.

Weekly use of the new surface. Activation. Time-to-output. Quality above the raw-model baseline, on your evals. One named number, a fixed price. Miss it, we keep working on our margin.

MANDATE

PRODUCT

OUTCOME
One named product outcome
KPI
Weekly use, activation, or time-to-output
BAR
Above the raw-model baseline, on your evals
PRICE
Fixed. Scoped on the first call.
ARCHITECT
Signed by the architect who ships it.

08 · Proof

Shipped. Inside a product like yours.

PRODUCT BUILD

SERIES A

A Series A construction tech platform shipped an agent layer on 15 years of scheduling data. A working copilot in front of expert users in weeks, in their repo, as their IP.

THE BAR THEIR CEO SET

Equal or better than the raw model, on their data, inside their product.

PRODUCT BUILD

VENTURE FUND

A venture fund's LP and deal intelligence answers inside their own workflow, enriched and current, instead of living across three databases.

PRODUCT BUILD

CIVIL-RIGHTS ORG

A civil-rights organization classifies a quarter-million posts a day on models built in-house, with scores inline in the analyst feed.

References on request.

Whoever builds the layer first owns the category.

Thirty minutes. We map your users' week and scope the first Mandate.

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