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Sovereign AI for the Enterprise

The AI agent platform your CISO will actually approve.

Your developers are already using AI on your codebase.
Sales might be too.

You just don't know which tools, which data, or what left your network. Shadow AI isn't a future risk — it's already happening. Every ChatGPT paste, every Copilot suggestion, every third-party AI tool pasting customer data, deal notes, or proprietary code is a data residency incident waiting to be discovered.

Cohort is the sanctioned, auditable, on-premise alternative that every team will actually use — because it's genuinely better than the tools they're sneaking in.

What Procurement Needs to See

Four questions. Four answers. Forward this to your CISO.

Data Stays On-Prem

95% of inference runs on your GPU. Nothing is sent to an external API by default. Your code, your conversations, your agent outputs — all of it stays inside your network perimeter.

Air-Gap Deployable

No cloud dependency required. Cohort runs entirely on your infrastructure with no outbound connections. Deploy in fully isolated environments — no internet access needed after initial setup.

SSO / SAML Ready

Enterprise tier includes SSO and SAML integration. Plug into your existing identity provider — Okta, Azure AD, Google Workspace. No separate credential management overhead.

Dedicated Support SLA

A dedicated support engineer assigned to your deployment. Not a ticket queue — a person who knows your setup. Custom SLA terms available for regulated verticals.

How We Developed This Positioning

We ran a Cohort roundtable on the question: "How should Cohort position its local-inference architecture to enterprise IT teams?" What follows is the unedited output — Marketing Strategist, Sales Agent, and Content Strategy Agent in structured debate.

COHORT ORCHESTRATOR

Framing the session. We have three distribution surfaces — Windows installer, pip, VS Code extension — all talking to a local server on port 5100. Zero data leaves the machine by default. The enterprise pricing tier lists air-gap deployment, SSO/SAML, and a dedicated support engineer. The question is: are we leading with this in our enterprise pitch, and if so, how? Marketing, start us off.

MARKETING STRATEGIST

The ICP here is crystal clear: mid-to-large enterprises in regulated verticals — finance, healthcare, defense contractors, legal. These are buyers who've already been burned by a Shadow IT incident or had a procurement request blocked because "data goes to OpenAI." They're not anti-AI, they're anti-risk.

The positioning pivot I'd make: stop calling it "local inference" and start calling it "sovereign AI." It's a term procurement already understands because they use it for cloud sovereignty with AWS/Azure. Data sovereignty is a board-level conversation right now. We're not a cost play to these buyers — we're a compliance play that happens to also cut costs 90%.

The competitive angle writes itself: every other AI agent tool is a liability waiting to happen. Cohort is the one your legal team will actually approve.

SALES AGENT

Marketing is right on ICP but I want to sharpen the MEDDIC lens here. The Economic Buyer in enterprise isn't the developer — it's the CISO or CTO, sometimes VP Engineering. That person's pain isn't "my developers want AI tools." It's "I have 200 developers using ChatGPT on company code right now and I have no visibility or control."

That's the Identify Pain — uncontrolled AI tool sprawl. Shadow AI. Cohort solves that by giving IT a sanctioned, auditable, on-prem alternative that developers will actually use because it's genuinely good.

The Decision Criteria for procurement will be: does it meet our data residency requirements, can we SSO it, can we air-gap it, and does it have a support SLA. We already check all four boxes on Enterprise tier.

One objection I'll flag early: "we'll just wait for Microsoft Copilot to add this." The counter is Cohort's contribution scoring and multi-agent roundtable architecture — Copilot is a single assistant, not a coordinated team. That's a genuinely different product.

CONTENT STRATEGY AGENT

Three content assets, ranked by impact:

1. "The Shadow AI Problem" — top-of-funnel blog post (highest priority)
Hook: "Your developers are already using AI on your codebase. You just don't know which tools, which data, or what left your network." Educational, not salesy. Ends with Cohort as the controlled alternative.

2. Enterprise one-pager PDF
One page, four checkboxes: Data stays on-prem ✓, Air-gap deployable ✓, SSO/SAML ✓, Dedicated SLA ✓. Built for the CISO to forward to procurement. Sales needs this yesterday.

3. Customer case study template
Empty template ready to fill the moment the first enterprise customer lands. Procurement loves social proof from peers in the same vertical.

SALES AGENT

Strongly agree on the one-pager. That's the Champion enablement tool — your internal champion at a prospect needs something they can forward to their CISO without scheduling a call. A clean one-page PDF that answers the four procurement questions is what closes deals asynchronously.

One addition: the ROI calculator should have an enterprise version that inputs headcount and current AI tool spend (GitHub Copilot seats, ChatGPT Team licenses, etc.) and outputs the Cohort savings plus compliance risk reduction. Procurement loves a number to put in the business case.

MARKETING STRATEGIST

On channel strategy for enterprise: LinkedIn is the primary acquisition channel, not Twitter/X. The CISO, CTO, and VP Engineering buyer persona lives on LinkedIn. The content cadence should be: weekly data points on AI data risk, biweekly Cohort capability highlights framed as compliance solutions, monthly roundtable transcripts showing what the product actually produces.

The benchmark page (97.2% accuracy, 23 agents, 2,400 questions) is a trust signal enterprise buyers care about — they need to know the local model is actually good. That page needs to be linked from the Enterprise section prominently.

COHORT ORCHESTRATOR

Consensus. Summarizing the actionable outputs:

  • Replace "local inference" with "sovereign AI" in enterprise-facing copy
  • Lead enterprise pitch with compliance/risk framing — cost savings as the bonus
  • Enterprise one-pager PDF: four checkboxes, built for CISO to forward to procurement
  • LinkedIn as primary enterprise acquisition channel
  • ROI calculator enterprise variant with headcount + current AI tool spend inputs

The 10-word enterprise pitch: "The AI agent platform your CISO will actually approve."

This roundtable was generated live using Cohort's compiled discussion mode. Unedited output.

Not a Single Assistant. A Coordinated Team.

The "we'll just wait for Copilot" objection misunderstands what Cohort does.

Single AI Assistant

  • — One perspective per query
  • — No structured disagreement
  • — No cross-domain synthesis
  • — No contribution scoring
  • — Siloed context window

Cohort Agent Team

  • ✓ 3–8 specialists in structured debate
  • ✓ Forced disagreement by design
  • ✓ Marketing + Security + Engineering in one session
  • ✓ 5-dimension contribution scoring
  • ✓ Persistent memory across sessions

The Local Model Is Actually Good

Enterprise buyers need to know local inference isn't a trade-off. It isn't.

97.2%
domain accuracy
24
agents tested
2,400
questions, 0 failures
$0
API cost per inference
View Full Benchmark Results

Ready to give IT something they can approve?

Talk to our team about air-gap deployment, SSO integration, and custom SLA terms.