The System of Record for Enterprise AI.
Your company spends more on AI every quarter — yet no one can say what it’s building, who your power users are, or what the return is. Toktra answers those questions at the device level, across every tool and provider. Track it. Audit it. Control it.
Bringing accountability to AI spend at forward-thinking enterprises
Billions spent. Zero accountability.
AI is one of the fastest-growing lines in your budget — and one of the least measured. Without a system of record, you can’t see what it’s building, what it’s costing, or where the risk sits.
Shadow AI
Of organizations report employees using AI tools IT never approved, provisioned, or can see.
Termination gap
The average window a departed employee keeps access to company-funded AI accounts.
IP at risk
Of employees admit pasting proprietary or confidential information into public AI tools.
See what AI is doing — without watching your people
Toktra’s lightweight device agent captures AI usage where it happens, across every tool and provider. It records metadata — never the content of a prompt — so you get answers without surveillance, and roll out without friction.
Know what’s in use
Every AI tool on every device — macOS, Windows, and Linux, plus the browser — attributed by user, team, and business relevance. No integrations, no API keys.
Measure the ROI
Cost attribution, waste detection, and exportable R&D tax-credit substantiation (US Section 41 and UK HMRC) turn AI spend into a number you can defend to the board.
Find your power users
See who gets real leverage from AI and who’s stuck — then close the gap with targeted coaching and in-flow nudges.
Prove the chain of custody
An append-only, RFC-3161-timestamped record of AI activity, ready for audits, legal holds, and IP recovery.
Zero-friction deployment
Deploy the agent
Roll out the lightweight Toktra agent via MDM — Jamf, Kandji, Intune, or SCCM. It runs silently and never blocks traffic, so nothing your team does breaks.
Map the unknown
Within hours, see every AI tool in use across the fleet — including personal accounts used on company devices and company accounts used on unmanaged personal ones.
Set the dial
Choose how much you see, from metadata-only to deeper visibility for high-risk teams. Assign budgets, map users to your IdP via SAML and SCIM, and route alerts into your SIEM.
Everything you need to govern AI usage
Device Agent
Metadata-only usage capture across macOS, Windows, Linux, and the browser
Admin Dashboard
Org-wide AI usage, attributed by user, team, and business relevance
Token Analytics
Cost attribution, waste detection, and R&D tax-credit substantiation
Budget Controls
Soft and hard token budgets by user, team, and department
Efficiency Coaching
Power-user identification and in-flow nudges from real usage data
Token Perks
A ring-fenced, encrypted personal AI allowance you can offer as a benefit
IP Protection
RFC-3161 chain of custody and GitHub IP-risk detection for AI-assisted work
API Gateway
A public API plus SSO/SCIM, SIEM, ITSM, and Slack integrations — centralized LLM routing on the roadmap
Visibility without surveillance
Unlike API-only tools, Toktra’s device agent sees usage from every AI tool — ChatGPT, Claude, Copilot, Gemini, and ones you’ve never heard of — across eight providers and four browsers. It records metadata only and never reads the content of a prompt, so employees trust it and rollout doesn’t stall.
See Device Agent →Turn AI spend into a number you can defend
Toktra attributes every dollar of AI usage by user, team, and project, flags waste, and produces exportable R&D tax-credit evidence for US Section 41 and UK HMRC claims. The unaccountable line item becomes a measured, governable investment.
See Token Analytics →Predictable, per-seat pricing
Priced per monitored endpoint. Unlimited policy rules.
Enterprise
Complete AI governance for large organizations
$25 per seat/month, billed annually
Bring accountability to your AI spend.
Join the CISOs, CIOs, and CFOs who replaced guesswork about AI with a system of record. See what you’re building, who’s building it, and what it returns.
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