Trusted by teams across leading enterprises
What that means
Sovereign
Runs entirely in your environment. Your data and your index never leave.
Context layer
One permission-aware index across every system, scoped to whoever is asking.
Enterprise AI
Search, copilots, and agents all draw from the same governed source.
Atolio’s approach
One unified index and fewer, more refined tool calls reduce token use by up to 80%. The model gets top results across all your systems, not top results from each system to then burn tokens sorting through.
Self-hosted in your cloud or on-prem, under your IAM and keys. Permissions enforced on every query, for people, service accounts, and agent identities.
A live inventory of every agent, one audit trail with trace and lineage, central kill switches, and spend attributed in real time per user and per agent.
How it works
Atolio is a sovereign context layer: a single, permission-aware index of all your company’s knowledge that runs fully inside your own environment, and gives every AI search, tool, and agent only the context it needs - and is allowed to see - to finish the job.
Sovereign perimeter
In your perimeter
Air-gap capable
Your keys
Model agnostic
Your systems
+40
Ask
a person or an agent
Only what’s permitted
Model agnostic
At runtime
1
2
3
Tool & action proxy
Agent inventory
Activity timeline
Unified alerts
Access controls by team
Governed web search
Kill switch
Connectors
Native connectors for every tool your teams uses. For fast-changing data, Atolio fetches live over MCP under the same permissions. Copilot, Claude, ChatGPT, and Gemini draw from the same governed layer through MCP or API.
Copilot
Claude
ChatGPT
Gemini
The cost problem
Every agent gets wired to your systems one integration at a time, each with its own credentials and permission logic. Your token bill climbs with every system you connect, and nobody can say which agents exist or what they can reach. With token consumption growing 24x by 2030¹, that’s a bill and a liability no company is prepared for.
¹ Goldman Sachs Research, 2026
And how Atolio takes each one off the bill.
Cost 01 · The problem
Agents query, read, retry, and pay for every pass.
How Atolio fixes it
Atolio retrieves once, from one index. No exploration loop.
Point-to-point
(federated MCP)
443K
tokens
13
steps
Atolio
64K
tokens
3
steps
Up to
80% fewer tokens
Cost 02
Every agent adds access requests, per system. Your team stays the same size.
How Atolio fixes it
Agents inherit the permissions you already have. No second set to maintain.
Cost 03
Broad standing access, copied content, and web search as an exit path.
How Atolio fixes it
Everything stays in your environment. Policy applies before an agent acts.
Cost 04
Teams build the same agent twice. Spend shows up on the invoice.
How Atolio fixes it
A live inventory of every agent, its owner, and its cost.
Cost 05
One provider’s prices, outages, and roadmap.
How Atolio fixes it
Switch models without re-indexing.
Security
Atolio deploys in your AWS, Azure, or GCP account, or on-prem on Red Hat OpenShift, and it can run air-gapped. It runs under your IAM policies and encryption keys. Nothing gets copied out to make it searchable.
Your cloud or on-prem
Air-gap capable
Your IAM, keys, and SSO
Permissions on every query
Policy on every tool call
Model and identity agnostic
Observability and audit
Every call routes through one enforcement point, so the audit trail builds itself as agents run. Agents built in code, in low-code tools, or on other vendors’ platforms all show up in the same view.
Track every agent across all AI interfaces in one inventory, with status, risk, access, and cost for each.
A running record of every read, block, and budget breach an agent triggers. When one drifts out of bounds, edit its policy or quarantine it in one click.
Real-time signals across agent risk, spend, access requests, and audit events, triaged from one queue.
Control which agents each team can invoke, with owner, health, and usage in one view. Revoke one group without shutting the agent down for everyone.
Grant, restrict, or block each team’s access to every source, down to the path. Groups sync from your identity provider.
Built for all stages of AI maturity
Stage 1
What Atolio enables
One permission-aware search across every connected system.
Unlocks
A governed index of your company’s knowledge.
Stage 2
What Atolio enables
Copilot, Claude, and Gemini grounded in cited, cross-system context through MCP or API.
Unlocks
Returns on the AI spend you already have.
Stage 3
What Atolio enables
One connection per agent, access enforced per person asking, and an audit trail.
Unlocks
Agents that ship with governance attached.
Stage 4
What Atolio enables
Runtime policy, kill switches, model routing, and per-agent cost.
Unlocks
Cost and risk that stay flat as agents multiply.
Atolio context layer
Every stage runs on the same foundation.
Partners
Clients
4 hrs/week
saved
25%
reduction in support tickets
“One of the key aspects of Atolio that is differentiated in this space is the ability to converse with your content, no matter where it is across all of our systems.”
Ledion Bitincka
CTO, Cribl
“We are investing in automation to drive internal efficiencies like an AI-powered search with products such as Atolio to improve the availability of product and customer information to Sales and Marketing teams and reduce the effort required to find answers to day to day problems. We believe these tools will significantly increase productivity of our go to market teams.”
Michael Hansen
CEO, Cengage
Buyer checklist
Bring these questions to your next vendor review. We’ll walk through our position on each one live.
We inherit them.
With Atolio, permissions are continuously synced from your source systems and enforced on every query, so there’s no second set to build or maintain.
From how it runs.
With Atolio, every call routes through one enforcement point, so the audit trail builds itself as agents run.
Yes.
With Atolio, spend is attributed in real time, per user and per agent, so you can plan from real numbers.
Yes.
Atolio has native connectors for the systems you run, live fetch over MCP under the same permissions, and support for any AI tool or agent through MCP or API.
Yes.
Atolio runs entirely inside your environment, under your IAM and keys, with permissions checked on every query.
A context layer gives AI tools and agents the specific, scoped, permitted information they need for each question or task. Atolio builds that context from a permission-aware index of your company’s knowledge.
Sovereign means your data, operations, models, and infrastructure stay under your control. Atolio runs inside your environment, on your keys, and works with any model.
Atolio deploys in your own cloud account or on-prem, and it can run air-gapped. Supported environments include AWS, Azure, GCP, and Red Hat OpenShift on-prem.
Atolio retrieves once from a single index and sends the model only the context it needs. That cuts token usage by up to 80%.
Permissions are continuously synced from your source systems and enforced on every query. An agent sees only what the person it’s working for can see.
Every agent action routes through one gateway, where policy applies before the call completes. Each call is logged with its trace and lineage.
Yes. Any AI tool or agent can connect to Atolio through MCP or API.
No. Atolio runs entirely inside your environment, under your keys.
Atolio is priced per-user with volume, non-profit, and educational discounts, with no additional license costs for LLM usage, data ingest, connectors, or anything else.
