Make your AI go further.

Pometry's context layer connects your data to your AI models, so they can reason, remember & act with confidence.

Turn static, disconnected data into live context.

The challenge

Enterprise data is siloed by design. Connecting it has always been the hard part.

Your project management, HR, finance, IT, engineering, and compliance systems each hold a piece of the picture. But they don't talk to each other. Answering a question that crosses system boundaries has always meant a heavyweight data migration project - months of engineering work, expensive replatforming, and constant maintenance. Most of the time, the question just goes unanswered.

The solution

Bring the model to the data, not the other way around.

Pometry maps your data to a context model wherever it already lives. Install it alongside your existing infrastructure. No replatforming, no complex pipelines, no month-long waits. The model updates continuously as your systems change, so every query reflects the current state of your organisation.

The result is a single, navigable view across every data silo. Cross-system questions that used to take weeks of engineering can be answered in seconds.

AI + Pometry ● Live
Why has the Atlas go-live slipped to Q4?
Reading across four systems
JRJira · delivery & critical path
GHGitHub · code & schema sign-offs
SNServiceNow · UAT approvals
WDWorkday · team ownership
A schema sign-off was added that now blocks UAT for two teams in different reporting lines.
Critical path is out 18 days. Let me check for other hidden dependencies…
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Next: Hybrid Intelligence →

Run deeper analytics with hybrid intelligence.

The challenge

Agents are intelligent. They just don't know your organisation.

Even the best models are guessing. Standard RAG approaches return fragments ranked by similarity, they don't understand how entities connect, how those connections have changed over time, or which reasoning paths are actually trustworthy.

The solution

Three search paths. One answer.


Pometry's Neuro-Symbolic technology combines the power of LLMs with determinist search techniques that span structure, meaning and time simultaneously. Semantic search finds conceptually related entities even when terminology varies. Graph traversal follows relationships to identify causal chains invisible to vector search. Exact retrieval handles deterministic lookups with no hallucination risk.

The result is context that's richer, more reliable, and fully traceable - so you can answer more complex questions, run simulations & build agentic workflows with confidence.

AI + Pometry ● Live
Start a campaign targeting Aldgate Partners.
Running similarity algorithms
Exploring the network
I'll draft a campaign based on what's worked well with similar firms.
Meanwhile: Aldgate's new CFO used to work with your colleague James Okafor. Shall I request a warm intro?
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Next: Regulatory-Grade Trust →

Deploy regulatory-grade trust to your AI

The challenge

Your reports can answer "what". They can't answer "why".

Regulators, auditors, and boards are asking harder questions - not just what a number says, but how you arrived at it, and what it looked like six months ago. Tracing a figure back through source systems, transformations, and manual overrides is a weeks-long investigation. Most of the time, the full answer is never recovered. And once a report is signed and filed, the underlying state that produced it is gone.

The solution

Complete traceability over time.


Pometry enables you to record the full history of your data as it flows through your systems - not what the pipeline was designed to do, but what actually happened, row by row, value by value. Every output is traceable back to its source, with a complete record of every transformation and decision along the way.

The result is an audit trail your regulators can trust and your teams can actually use. Not a costly archive to maintain. Not a weeks-long investigation when something changes. Just a query.

AI + Pometry ● Live
Net exposure to TerraFin Holdings is £4.2M.
Where did this figure come from?
Tracing every figure to source
ledger_2024.parquet · row 1182
exposures.db · txn 88431
filings/Q3.csv · line 47
This figure is calculated from three sources, correct as of 31 March, the latest point at which all three reconcile.
Open full trace
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Next: Organisational Memory →

Collaborate with organisational memory.

The challenge

AI agents don't remember. Every run starts from scratch.

Your organisation accumulates knowledge - decisions made, outcomes observed, patterns learned. But your AI agents have none of it. Each session begins with no memory of what came before. When something goes wrong you can't trace why. When something works you can't reproduce it. And as you scale to multiple agents working in parallel, there's no shared context, no coordination, and no audit trail of who did what and why.

The solution

Agents that get smarter with every run.


Pometry's AI infrastructure enables every agent to have a persistent memory that builds each run. No more starting from scratch: decisions made last week are available this week, and patterns recognised in one session carry forward into the next.

Memory can be scoped and restricted at any level - peer to peer, team, business unit, or org-wide. So the right context reaches the right agents, and sensitive knowledge stays within the boundaries you set.

AI + Pometry ● Live
Why did we sunset the legacy onboarding flow?
Recalling shared memory
PMPriya Mehta · onboarding review, 12 Mar
SCSarah Chen · growth sync, 14 Mar
AIAnalyst agent · conversion analysis, 14 Mar
This was decided by Priya's team & their analyst agent, because conversion ran 22% below the new flow.
Click to view the full justification
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Learn more about Pometry's AI Infrastructure.

Book a call, view more information, or run a secure, two-week trial in your own environment.