Limited spots available for our
April Beta Cohort.
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Inovity Technologies
Private AI for your business data — fast to launch

A secure AI agent that answers from your live business data

Answers from your live data — so every team can make decisions faster with verified, auditable context.

Your data stays in your systems — agent connects securely, queries live, and never stores or trains on your information. Ask via text, voice, or images — get clear responses with sources every time.

Built for teams that need accurate answers from their own data—fast.

No training on your data
Tenant-isolated by design
Works with existing systems
Apply for Early AccessExplore product overview

April cohort: Limited spots available. Applications close Mar 31.

Private by design
Tenant isolation, role-based access, and audit trails.
Real-time accuracy
Answers stay up to date with your live business data.
Flexible AI models
Use best Model for your needs—switch anytime.
Inventory Management
Connected sources: POS • Warehouse
Accessed securely on demand
Sample Agent Chat
Streaming • Grounded • Auditable
User
Ask about orders, inventory, or margins…
Agent
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

A private AI agent for real business systems

Inovity connects to your governed data, verifies every answer against live systems, and keeps security teams in control.

Instead of retraining models or copying data into a public service, the agent runs inside your environment and talks to the systems you already trust.

Why it’s different
🧱

Built for production

Ready for live business questions on day one — not a lab experiment.

  • Streams and verifies answers using live system data
  • Explains sources, assumptions, and gaps
🔒

Private by design

Every tenant has its own isolated runtime, policies, and audit controls.

  • No model training on customer data
  • Role-based access with approvals
🔌

Works with your stack

Connect to databases, files, apps, and internal APIs without replatforming.

  • Direct connectors + secure proxies
  • Bring your own auth & logging
🔁

Flexible & future-proof

Swap models, add tools, or embed the agent anywhere as needs evolve.

  • Model-agnostic orchestration
  • SDKs for web, mobile, and internal tools
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

Live data • Verified answers • Full audit trail
🛡️

Enterprise safety guarantee

All actions are policy-controlled, fully auditable, and executed only through approved system integrations.

Security teams can review every question, tool call, and integration event with user, role, and timestamp metadata.

How it works (high level)

Fast understanding, validated against live systems — so answers stay accurate as your data changes.

Live data verification • Hallucination-resistant • Fully auditable

INTENT ENGINE

1) Understand

Extract the intent, goals, and constraints of the user's request.

Ensures the agent knows what success looks like before taking action.

CONTEXT PIPELINE

2) Retrieve

Gather the most relevant context from connected systems and documents.

Brings the best available evidence into the conversation automatically.

LIVE DATA CONNECTORS

3) Verify with live data

Pulls the latest records from your systems to avoid stale answers.

Keeps every response grounded in today’s numbers — not cached snapshots.

RESPONSE & POLICY LAYER

4) Answer

Delivers responses with source links, safeguards, and audit metadata.

Stakeholders can trust every response and trace it end-to-end.

Continuously re-validated as data changes

This approach avoids stale data, hallucinations, and black-box answers.

All data access is logged and attributable to authenticated users and roles, so every query can be reviewed and audited.

Built for secure, real-world use
• Tenant-isolated environments
• Role-based access control
• Full audit trails
• No data sharing between customers
• Private deployment options
• Compliance-ready logging

Privacy & security, by design

Every request is isolated, authorized, and logged.

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
  • • Customer data is never used for model training or learning
  • • All requests and data access are logged and auditable
✅

Real-time truth

  • • Answers verified against live data from your systems
  • • Safe, predefined queries — no AI-generated database writes
  • • Policies and usage limits enforced on every request
  • • Designed for reliable, production use

Frequently asked questions

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

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?
No. Your data is never used for training, fine-tuning, or improving any AI models. It remains private, isolated within your tenant, and fully under your control.
06Can we control who can access which data or features?
Yes. Access is role-based, with permissions, policies, and audit logs to ensure only your authorized users can access your data and features. Inovity staff and platform providers do not have access to your data, and AI models process your data only within your tenant during request execution and do not retain or reuse it.
07Where does the agent run?
The agent runs in a secure, tenant-isolated environment. Private or dedicated deployment options are discussed during the beta.
08Are all actions auditable and logged?
Yes. Every query, tool call, and integration touchpoint is logged with user and role metadata, so security teams can review and audit activity at any time.
Platform & AI strategy
09How does the agent integrate with our applications or workflows?
The platform provides the same APIs and SDKs we use internally, for web, mobile, and internal tools, allowing the agent to embed directly into your workflows.
10How does the agent choose which AI model to use?
The platform automatically selects the right model based on the task to balance accuracy, speed, and efficiency. Teams don't need to manage this unless they choose to.
11Can we choose or change the model in production?
Yes. The platform is model-agnostic, and supported models can be selected or adjusted during production rollout, giving teams flexibility as needs evolve.
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 — we’ll share exactly how the agent would fit.

Request Beta Access