AI Innovation & Execution Platform
AI innovation and execution, in weeks, not quarters.
inKnowVerse™ is our enterprise AI Innovation & Execution Platform, built to accelerate the delivery of AI applications and agents while maintaining control, governance and trust. It covers identifying, prioritising, building, deploying, governing and monitoring AI workloads across the enterprise.
Prioritise ideas
Build, deploy and run
Human-in-the-loop
Delivery record
What the platform has shipped.
10×
More delivered by the same team
5x
Faster idea-to-value cycle times
Every Release
Passes automated security and evaluation gates before production
AI portfolio management
Every idea scored, so the right ones get built.
One platform that turns any idea, whether an app, agent, workflow, bot or product, into working software in weeks, not quarters. Ideas enter from anywhere in your business and inKnowVerse™ scores each one against the criteria you define, ranking them so the highest-value work moves into delivery first.
The platform adapts to your prioritisation criteria, risk framework and decision-making processes. Opportunities are evaluated consistently against value, feasibility, security and compliance, so recommendations integrate into your existing governance structures rather than creating parallel ones. Prioritisation is built into the platform rather than run as a separate exercise, which is what stops delivery capacity going to whoever asked loudest. And we will tell you where AI is not the answer.
Captured
From your teams or ours
Evaluated
AI-scored against your criteria
In build
Owner, status and next action
Live
Measured against the agreed case
Innovation Radar
Every idea plotted against value and maturity, from captured through to live.
Innovation Pipeline
Six parts, one flow. Every idea tracked from captured to live.
Innovation Leaderboard
Top ideas ranked in real time by evaluation score.
Human-in-the-loop
Your people decide at every step.
AI accelerates; people stay accountable. The platform scores, drafts, tests and monitors. It does not decide what gets funded, how it is designed, or whether it is safe to release. Those calls sit with your teams and ours, and the platform records who made each one.
Behind the platform is a squad of AI developers, solution architects, data and security engineers who build and run what ships. This is not a self-service tool with a services wrapper. Expert people are in the loop at every gate.
AI assists
AI recommends
People decide
Which ideas get built
The platform scores every opportunity consistently against your criteria. Your people hold the casting vote on what is funded, what is deferred and what is rejected outright.
How it gets designed
Architecture, data access, guardrails and the boundary between what the system may do alone and what it must escalate are decided by engineers and your risk teams, not inferred by a model.
Whether it ships
Nothing reaches production on an automated pass alone. Evaluation evidence goes to a named reviewer, and a person signs the release.
AI assists
AI recommends
People decide
Which ideas get built
The platform scores every opportunity consistently against your criteria. Your people hold the casting vote on what is funded, what is deferred and what is rejected outright.
How it gets designed
Architecture, data access, guardrails and the boundary between what the system may do alone and what it must escalate are decided by engineers and your risk teams, not inferred by a model.
Whether it ships
Nothing reaches production on an automated pass alone. Evaluation evidence goes to a named reviewer, and a person signs the release.
Deployment model
Your boundary. Your call.
The platform runs in three deployment models so the operating boundary is your decision. Choose the one that matches your governance requirements and how quickly you want to move.
Model A
Shared tenant
Operated by TeKnowledge
Identity & access
Shared
Network & computer
Shared
Application runtime
Shared
Data, indexes & storage
Isolated
Encryption keys
Isolated
Right for
Where speed matters most and you want to start building now. Infrastructure is shared; your data, indexes and keys are not.
Model B
Dedicated tenant
Operated by TeKnowledge
Identity & access
Dedicated
Network & computer
Dedicated
Application runtime
Dedicated
Data, indexes & storage
Dedicated
Encryption keys
Dedicated
Right for
Regulated workloads, without building the platform capability in-house. Nothing shared with any other customer.
Model C
Your cloud
Operated by you
Identity & access
Yours
Network & computer
Yours
Application runtime
Yours
Data, indexes & storage
Yours
Encryption keys
Yours
Right for
Established cloud operating models where you want to run it yourselves. You hold the landing zone, the code and the audit record.
Infrastructure and security
Engineered in by design, not added at the end.
Delivery speed comes from standardised, governed practice, not from skipping the controls. Every environment is provisioned through automation from the same hardened baseline, so security holds on every release rather than being checked at the end.
Identity and access
Every user and service authenticates through your identity provider, with least-privilege access enforced by role.
Network and edge
Architecture, data access, guardrails and the boundary between what the system may do alone and what it must escalate are decided by engineers and your risk teams, not inferred by a model.
Workload platform
Nothing reaches production on an automated pass alone. Evaluation evidence goes to a named reviewer, and a person signs the release.
Data security
Encrypted in transit and at rest, with customer-managed keys, tested recovery and defined retention.
Secure development
Security built into the delivery pipeline, from code review and scanning to secrets management.
Model layer
Frontier, open-weight or your own model, chosen per workload and reviewed by a person before promotion.
Applied end to end
Provisioned as code
Separated environments
Policy guardrails
Tenancy isolation
Full audit trail
Continuous vulnerability management
Penetration testing
ISO 27001:2022 · information security
ISO 27701:2019 · Data Protection
IN Production
From Service Operations Improvement, to Software Licence Cost reductions, inKnowVerse™ is delivering impact.
What has gone into production through the platform, across sectors and problem types. Each was scored at intake, built through the full gate sequence and is monitored in run.
Sampling to full coverage
Service operations
AutoQA
Every support interaction scored against the quality rubric instead of a sampled few, with exceptions routed to human reviewers.
Human gate on every decision
Talent acquisition
Velo ATS
Event-driven recruitment orchestration with PII-stripped parsing, bias checks and a human gate on every consequential decision.
Adherence 73% to 83%
Engineering operations
Support Engineering Operations
Actual engineering activity interpreted in place of timesheets, surfacing productivity and bottlenecks live.
Platform licences removed
Sales operations
Quantum CRM
A voice-enabled CRM sized to how a small sales team actually works, replacing a heavyweight platform.
Talk to us
Bring one idea, or bring all of them.
Whether the decision is already made, the use case needs testing against your estate, or you simply have more ideas than capacity, the first conversation is with the people who would do the work. Set up a call and we will take it from there.