Structurify
Turns unstructured documents, scans, and emails into structured, evidence-linked data your AI can actually use.
Data & Knowledge
Structure your documents →We don't sell AI.
We make it work.
Dscvry is the deployment layer for enterprise AI. We turn models, copilots, agents, platforms, and messy data into governed, integrated, production-ready capability.
Trusted by
DeloitteNexus MallsHanon SystemsFowler FortescueBrandixSelati Game Reserve
The gap
Most enterprises already have AI. Very few have it working.
You've run the pilots. You've bought the tools. It still isn't running the business.
"Most of what we need is trapped in PDFs, scans, and inboxes."
Data that isn't ready"It works in the demo. It won't touch our ERP or the systems we actually run."
It won't connect"It hallucinates, and no one can tell me where the answer came from."
Output no one trusts"Legal and security can't sign off on what they can't audit."
Governance, too late"We pay for licences no one opens."
Paid for, not adopted"The token bill climbs every month and no one can explain it."
Cost out of sight"We can't decide whether to build it, buy it, or wait. So nothing moves."
Build, buy, or waitNone of it is a model problem. It's the work that turns AI access into capability you can run, trust, afford, and use. That work is the deployment layer, the part no one owned. That is where Dscvry lives.
The deployment layerWhere AI capability becomes business value.
The layer between capability and value.
Dscvry sits between what AI can do and what your business gets from it. We don't compete with your platforms. We make them work.
Closest to your users
Application & platform
Apps, copilots, agent platforms
Microsoft Copilot · Harvey · Legora · ServiceNow · Salesforce · Palantir
We configure, extend, and govern it.
Deployment layer
The work that turns access into capability
Dscvry
Where Dscvry creates value.
Model
LLMs, multimodal, reasoning
OpenAI · Anthropic · Gemini · Llama
We select, orchestrate, and govern them.
Cloud & infrastructure
Hosting, security, identity
Azure · AWS · Google Cloud
We deploy on and across it.
Energy & compute
Power, chips, GPUs
NVIDIA · AMD · hyperscalers
Not our layer.
Closest to the hardware
Dscvry turns the AI you've already paid for into capability your business can run, trust, and scale.
What we do
What deployment actually means.
The work that closes those gaps: turning AI access into capability your business can run, trust, afford, and use.
01
Data & Knowledge
We turn messy enterprise data into knowledge AI can actually use.
Data is the material. Knowledge is the context that makes it useful.
02
Integration & Orchestration
We connect AI into your existing and legacy systems, and coordinate how the work runs across them.
Integration connects the enterprise. Orchestration coordinates the AI.
03
Workflow & Controls
We put AI inside real work, with guardrails around it.
Workflow makes AI usable. Controls make it safe enough to use.
04
Governance & Assurance
We make AI accountable and evidence-led, so people can trust what it produces.
Governance defines responsibility. Assurance provides evidence.
05
Adoption & Operations
We get people using it, then keep it running, measured, and cost-visible.
Adoption gets people using it. Operations keeps it worth the spend.
How we work
How we move AI into production.
One method to take AI from idea to working capability. It runs as a loop, not a project plan.
01DiscoverSee every dimension of the opportunity and the gap.Map · Diagnose · Prioritise
02DesignBuild the foundation once, properly.Frame · Compose · Plan
03DeployMove owned capability into production.Automate · Augment · Transform
04DemonstrateProve value, then feed the next loop.Measure · Monitor · Evolve
Demonstratefeeds the next Discover
That is how deployments compound. The second one is faster than the first.
Working with us
Start wherever AI is stuck.
Different ways in. One way of delivering. All of it runs through the loop.
Where you start
AI Strategy
Where should AI matter, and what can actually scale?
AI Design
How should this work before we build it?
AI Deployment
How do we move this from pilot to production?
AI Operations
How do we keep it working, governed, and improving?
AI Assurance & Governance
Can we trust, explain, and evidence what it does?
AI Readiness
Are our people ready to use AI with judgment?
Not sure where to start? Book a working session and we'll map it with you.
Who delivers it
Forward-deployed AI teams
A managed deployment capability that works inside your environment, data, and systems. Not staff augmentation. Not engineers for hire. A team that stays until working capability is yours.
Embed a teamWhat accelerates it
Accelerators
Reusable deployment capability from past work, so each deployment lands faster and safer than the last.
See the AcceleratorsWhichever way you start, it runs through the loop, and gets faster every pass.
Accelerators
Reusable deployment capability.
Every Accelerator started as a problem we kept seeing across real deployments. We turned the repeatable part into something deployment-ready, so your project doesn't start from scratch.
Axiom
Brings clause analysis, obligation tracking, and defensible, evidence-led review into the tools legal teams already use.
Governance & Assurance
Search every matter →DotPlot
Lets your people ask governed enterprise data questions in plain English, and get answers they can trust.
Data & Knowledge
Ask your data →Ledger
Structures finance documents, flags exceptions, and prepares review-ready packs before they reach your team.
Workflow & Controls
Tighten the back office →Sustainze
Collects, validates, and traces the evidence behind ESG and disclosure reporting, so the numbers hold up.
Governance & Assurance
Defend your disclosures →Compass
Turns AI adoption into proof: diagnoses readiness, runs practical missions, and tracks capability people actually gain.
Adoption & Operations
Prove readiness →ProofDeployments running in production.
The proof is in production.
Not pilots. Not demos. Deployments running inside the business, with numbers leadership can finally see.
From chaos to controlFood services · 18,000 contracts
DeployedWe structured the contract corpus into governed, queryable data and put it inside the legal team's review workflow.
$1.4Mannual savings
82%faster review cycles
80%fewer missed renewals
From leakage to pipelineGlobal logistics · Revenue recovery
DeployedWe deployed invoice extraction and reconciliation, with controls and exception handling, straight into the finance pipeline.
$2M+revenue recovered
80%fewer exceptions
30 daysto compliance
None of this came from a better model. It came from deployment done properly.
Discuss a deployment like theseCompany
Built by operators.
Dscvry was built by people who have worked inside large enterprises, not around them. We know how large organisations actually work: procurement, compliance, politics, change. So we don't hand over a deck and leave. We architect, build, deploy, and stay until your team owns it.
London · Hyderabad · Chennai
Services reveal.Accelerators scale.Platform compounds.
Every deployment strengthens the next.
The hard part of enterprise AI is not generating intelligence. It is operationalising it responsibly.
Book a working session