Private beta launches April 14, 2026
Join the waitlist for early access
Join Waitlist →
Private AI platform for your business data — fast to launch

Secure AI that answersfrom your business data

Meet Kairos — the intelligence agent built on NoemaOne

Unified intelligence across all your systems

Get answers grounded in your live systems so teams can make faster, more confident decisions with verified, auditable context.

Your data stays in your systems. Kairos connects securely, queries in real time, and returns clear, source-backed responses.

No training on your data
Works with existing systems
Source-backed answers

Private beta launches April 14, 2026. Join the waitlist for early access.

Private by design
Tenant isolation, role-based access, and audit trails.
Grounded in live context
Responses stay aligned with the latest business information.
Built to fit your stack
Connect across existing systems and adapt to evolving workflows.
Inventory Management
Connected sources: POS • Warehouse
Accessed securely on demand
Chat with Kai
Streaming • Grounded • Auditable
User
Ask about orders, inventory, or margins…
Kai
Result
Source: Warehouse • Last stock update: 4 mins ago
  • Loading…
Querying live systems…
Suggested follow-ups
Preparing…

* Response, results, and analysis are simplified for demo purposes.

Product overview

NoemaOne is the platform. Kairos is the intelligence layer.

NoemaOne provides the secure foundation - governance, data access, and integrations across your systems. Kairos turns that foundation into answers your team can act on.

No new tools. No data movement. No compromises.

Why NoemaOne is different

Built for production

Ready for real business questions from day one.

  • Connects to live business systems
  • Returns answers with supporting context

Private by design

Built for teams that need strong controls and trustworthy access.

  • No training on your data
  • Aligned with roles, permissions, and review workflows

Works with your stack

Connect across the systems you already use.

  • Supports existing business tools and data sources
  • Fits with your security and identity layers

Flexible and future-proof

Adapt as your needs evolve without locking into one approach.

  • Flexible model and integration strategy
  • Designed for internal tools and product experiences
What teams use it for
📊
INSIGHT
Monitor operations

Pull KPIs, fulfillment status, and exception lists in seconds.

Ops leaders get a live pulse without digging through BI dashboards.

RISK
Investigate delays & risk

Trace bottlenecks across orders, supply, and logistics.

Surface blockers and the affected customers before they escalate.

🔍
SEARCH
Ask across systems

Query ERP, CRM, BI, and document systems from one interface.

Teams stop stitching answers across tools manually.

ACTION
Trigger workflows

Kick off alerts, tickets, or escalations directly from the agent.

Close the loop with escalations and handoffs right from chat.

🧩
EMBED
Embed in your tools

Drop the agent into internal portals, ops consoles, or custom apps.

Meet users inside the tools and portals they already rely on.

📈
ANALYTICS
Analyze trends & performance

Spot patterns, seasonality, and shifts across time and systems.

Catch swings earlier and prep leadership-ready narratives.

🛡️

Operational AI, built for enterprise governance

Actions and responses can be governed, reviewed, and aligned with the systems your organization already approves.

Current contextVerified answersReviewable activity

Your team can review activity, investigate outcomes, and maintain oversight without losing speed.

*Visibility follows your settings; only your organization can access this data.

How Kairos works

The Kairos Decision Loop

From question to verified answer - in four steps.

A trusted decision loop that turns business questions into verified, actionable answers.

01

Understand

Interprets your question in business context and identifies the systems involved.

02

Retrieve

Pulls relevant context from connected systems and approved sources without moving your data.

03

Validate

Checks current system state when freshness matters so answers reflect what is true now.

04

Answer

Returns a clear response with supporting context, safeguards, and source visibility.

Continuously re-validated as your data changes to keep answers aligned with real-world operations.

Private by design • Reviewable activity • Enterprise controls

Privacy & security

Privacy & security, by design

Every request is isolated, authorized, and auditable - by default.

Built for teams that need private, controlled AI access to their own systems - without the risks of public AI tools.

Customer data stays private

  • Tenant-isolated environments and data access
  • No cross-tenant data sharing
  • Your data is never used for model training
  • All access and activity is logged and auditable

Answers reflect real-time truth

  • Responses verified against live system data
  • Safe, predefined queries - no AI-generated writes
  • Policies and usage limits enforced on every request
  • Designed for reliable, production use
Waitlist

Join the waitlist for the April 14 beta launch

Get early access when private beta opens. We’ll notify selected teams first and share onboarding details by email.

Tell us a little about your team and the workflow you want Kairos to support so we can prioritize the best early-access fit.

What to expect
  • Private beta launches April 14, 2026
  • Selected teams receive early access first
  • Qualified workflows get private onboarding support

Complete verification above to enable submission.

FAQ

Frequently asked questions

Answers to the most common questions about setup, data, access, and rollout.

Getting started & data fit
01Who is the beta for?
Teams exploring AI agents for real business workflows, production use cases, and secure private access to their own data — not just demos or experiments.

Not a fit for: consumer chatbots, hobby projects, or teams looking for public AI tools without data controls.

02What data sources can it connect to?
Most databases and business systems — including PostgreSQL/MySQL — plus files (CSV, Excel, PDF), selected website content, and internal systems via APIs. More integrations are added during the beta.
03Does this replace our existing systems?
No. The agent integrates with your existing systems and operates alongside them — no rip-and-replace required.
04How long does it take to get started?
There is a short onboarding and initial setup process to connect your data and tailor the agent to your use cases. Most teams can start using the agent and asking real questions within days, with deeper integrations added over time.
Security & privacy
05Is your data used to train models?
Customer data is not used to improve shared models. Specific handling and deployment details are discussed during onboarding and reflected in the implementation plan for your team.
06Can we control who can access which data or features?
Yes. NoemaOne is designed to align with your organization’s access controls, review processes, and governance requirements so teams can control who sees what.
07Where does the agent run?
Deployment options depend on the use case and security requirements. We discuss the right setup with each team during the beta process.
08Are all actions auditable and logged?
NoemaOne is designed to support reviewable activity history and enterprise oversight. The exact logging and audit model depends on the deployment and workflow being implemented.
Platform & AI strategy
09How does the agent integrate with our applications or workflows?
NoemaOne can be introduced through the workflows and interfaces that make the most sense for your team, whether that is a standalone experience or a more embedded setup.
10How does the agent choose which AI model to use?
Model choice depends on the use case, performance goals, and governance requirements. Teams do not need to manage that complexity unless they want a more customized setup.
11Can we choose or change the model in production?
Supported model options can be discussed as part of rollout planning, especially for teams with specific governance or performance requirements.
12What happens after the beta?
Beta teams help shape the product and can transition seamlessly into the production platform with their existing setup and integrations. Commercial plans and production options are shared with early-access teams before general availability.

Still have questions?

Talk to us about your data, workflows, or deployment requirements and we’ll show how NoemaOne and Kairos fit.

Join Waitlist