Enterprise decision intelligence

Enterprise AI you can trust with a decision.

Systems that turn your data into decisions your executives can act on. Every answer cited, running in your own cloud.

See how we work

ThirdEye: your data, answering to you.

ThirdEye answers, drafts and acts from your documents and systems, with a citation on every line and a log of every step. It runs inside your own cloud, and we operate it for you.

Network Operations Analyst

How has average time to restore moved across the last six months, by region?

Network Operations Analystnow

Scope [measured] Sample fault ledger, March to August 2026, three regions. Time to restore is the mean hours from a logged fault to service restored, per region and month. [1]

Headline [measured] Metro improved from 6.8 to 5.4 hours. Regional worsened from 9.1 to 11.6 hours, with the sharpest step in June (9.2 to 11.1). Remote improved from 14.2 to 11.9 hours after an April peak of 15.1. [1]

Interpretation [inferred] Regional's June step coincides with the storm cluster recorded in the regional review, and the July contractor handover did not recover it. Remote's improvement follows the new spares depot coming online in May. [2] [3]

Caveat [measured] These are means, not medians. Two long outages in Remote pull April up, so the Remote peak overstates a typical fault that month. [1]

Sources[1] Fault ledger, FY26 (sample)[2] Regional ops review, June (sample)[3] Field contractor register (sample)

Mean time to restore, hours, by region, March to August 2026

Mean time to restore, hours, by region, March to August 2026
RegionMarAprMayJunJulAugChange
Metro6.86.56.16.35.75.4-1.4
Regional9.19.49.211.111.411.6+2.5
Remote14.215.113.813.312.411.9-2.3
Illustrative demo · sample dataA re-created ThirdEye session with sample data, not a product capture. Regions, sources and figures are invented for the demonstration.
  • Single tenantOne instance, in your cloud account and region.
  • Customer-managed keysKey ownership agreed and verified.
  • Your model endpointsManaged or self-hosted inference, explicitly scoped.
  • Controlled egressApproved destinations; disconnected is a separate design.
How a deployment sits in your cloud

Built to pass your security review.

Audit of every query and every action, role-based access and usage monitoring, with walled-off workspaces per team or entity. Everything inside the line is yours.

APPLICATION VPC: PROPOSED CONTROLSYOUR SOURCESDocuments and drivesData roomsLedgers and KPI reportsPolicy registersindexedYOUR SYSTEMSTicketing, service deskCRM and ERPWorkflow toolsthe record changes hereactsTHIRDEYE, SINGLE TENANTAnswers, with citationsAnalyses and draftsActs through governed toolsapproval requiredWatches and escalateson your scheduleAudit scope to verifycitations to reviewtest team isolationverify roles and accessPRIVATE ENDPOINTConnectivity onlynot model hostingpromptsMANAGED INFERENCEOutside app VPCRegion / retention:verify with providerYOUR KEYSCustomer-managedencryptsprodtestdevSTAGED ENVIRONMENTSYOUR PEOPLEask, approve, review the logSSO and rolesblock unapproved destinationsUnapproved APIsUnapproved servicesdeny and verifyAKIMADesigns, deploys,operates with youvia governed accessoperated via your access
Illustrative managed-inference option, not a deployed-control attestation. The application VPC contains the private endpoint, not the managed model. Prompts and retrieved excerpts cross into the approved model service; verify its region, retention and processor terms. Self-hosted and disconnected designs require separate review.Scroll sideways for the whole picture.

Data residency

Application region is agreed per engagement. Verify inference, embeddings, logs, backups and support-access locations separately.

Your model endpoints

Managed inference processes prompts outside the application VPC. Private connectivity is transport, not in-VPC model hosting.

Customer-managed keys

Customer-managed keys are a design option. Verify service coverage, key ownership, rotation and recovery in the approved design.

Controlled egress

Allowlist required services and record their processors. Disconnected operation requires local inference and no external runtime dependencies.

Staged compliance

Require separate dev, test and production environments; pilot access still needs approval before data is connected.

Inside your processes

Agree procurement, architecture-review and cloud-governance approvals with your reviewers; approval is not guaranteed.

Security and architecture overview available on request.Trust and security

Built for the sectors where the answer has to be right.

From first use case to governed operation.

One engagement model, whether we deploy ThirdEye or build alongside your team on a use case of your own.

How we workExplore services
  1. 01

    Identify a decision worth improving

    We start with one decision your leadership needs to make better, and the evidence it should rest on. Design-first and spec-driven, agreed before we build.

  2. 02

    Connect approved data and systems

    Documents, systems of record and the tools the agent may act in, indexed in place and mapped to your roles and access.

  3. 03

    Deploy inside your environment

    Single tenant, in your cloud account and region, on your own model endpoints. No use case goes live until it passes measured accuracy evaluation.

  4. 04

    Govern actions and measure operation

    Approval before an action runs, a log of every step, and results measured against the decision we set out to improve. Then we operate it with you.

Products we build and run.

Yojivo

All-in-one platform for consultancies.

Delivered as SaaS, run by Akima. Public LLMs by default, bring your own model where you need to.

ThirdEye

Sovereign enterprise AI in your own cloud.

Deploying now with an enterprise client, in their own cloud, through full enterprise security review.

Ahoy

AI voice agents that answer every call.

Answering the phone today for window tinting, elevator services, security and motorcycle-tour businesses.

Plus bespoke platforms built for clients who need something that doesn't exist yet.

A 30-minute briefing

See what your data could be telling you.

Thirty minutes on where decision intelligence fits your operation. Bring your hardest questions.