This month's demo cohort — 3 of 5 spots remaining

Handle 3× more client load without adding a single analyst.

Ekai CoWork deploys AI Co-Workers built on NVIDIA NeMo for security teams — live in under a week. Client incident data stays fully inside your environment. No external APIs. No third-party routing. No surprise bills.

Claim a free demo spotNo-pay pilot · 5 security teams this month · 2 already taken
Client capacity
< 7 days
To live deployment
$0
Token costs
100%
Data sovereignty

Built for security teams operating under SOC 2 · ISO 27001 · GDPR · NIS2

The problem

Your pipeline isn't the bottleneck. Capacity is.

Every security team we talk to is leaving revenue on the table — not because deals aren't closing, but because they can't safely onboard another five clients without burning out the analysts they already have.

Hiring takes 90 days. Off-the-shelf AI tools fail security review. And anything that routes incident data through someone else's cloud is a non-starter.

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Hiring 3–5 analysts costs $300K–$500K and takes a quarter to ramp.

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Generic AI tools fail your CISO's review on data residency.

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API-based copilots create unpredictable usage bills your CFO hates.

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Past AI pilots quietly died because no one wanted to babysit them.

How it works

AI Co-Workers your CISO can actually approve.

Live in under a week

Onboard AI Co-Workers like you'd onboard an analyst. No 6-month integration project, no engineering team required.

Built on NVIDIA NeMo

Enterprise-grade agent framework. Local models, fine-tuned on your playbooks, running on infrastructure you control.

Drag-and-drop new skills

When threat patterns shift, your ops lead adds a new skill in minutes. No tickets. No waiting on a vendor roadmap.

One dashboard, every Co-Worker

Manage capacity, audit every action, and pull SOC-ready logs from a single pane of glass.

Security posture

Your client incident data never leaves your environment.

Most "secure" AI vendors quietly route prompts through OpenAI, Anthropic, or their own hosted endpoints. Ekai CoWork doesn't. The model runs where your data already lives — so the answer to "where is our client's data right now?" never changes.

Zero external LLM API calls

Inference happens on infrastructure you own. Period.

Local model deployment

On-prem, in your VPC, or on isolated GPU you spec.

No model training on client data

Your incidents don't become someone else's training set.

The founders

Built by operators who've shipped secure AI at scale.

Portrait of Priya Vrat Misra

Priya Vrat Misra

Co-Founder & CEO

25+ years architecting enterprise AI and data platforms. Former engineering leadership across tier-1 banks and global tech firms — builds AI systems that pass security review on day one.

AI EvangelistEnterprise AI architectureData sovereignty
Portrait of Peter Gibbs

Peter Gibbs

CMO & Account Executive

Former COO with 20+ years delivering solutions in regulated environments. Led the scaling of a technology consultancy through to acquisition, working across operations, delivery and commercial. Now focussed on embedding AI into real workflows — ensuring outputs are controlled, auditable and fit for purpose.

GTM in regulated marketsCybersecurity salesEnterprise compliance
3 of 5 spots remaining this month

Run a no-pay pilot with your team this month.

Five security teams. Zero cost. One week to live. We'll deploy an AI Co-Worker against a real workflow you choose — and you keep the artifacts either way.

Claim your spot15-min walkthrough · no slides