Intelligence has gravity

Connecting Data,
Unlocking Insights

Start with the story, not the data.

A few sentences, a short interview, a map. Everything generated stays an assumption until someone approves it.

Describe the company
A few sentences are enough. Gaps become a handful of questions — never a blocker.
We sell policies through brokers…Who handles claims in-house?Our own team, 40 assessors.
Interview the people who do the work
Teams talk to an AI interviewer on their phones. Only approved notes travel; audio is never stored.
Map where data pulls work
Departments, tasks and shared data on one map — every node an assumption until approved.

From Data to Gravity.

Rehearse the whole flow on synthetic data before you build anything.

Synthetic data, seeded
Generate a day of activity that looks like yours. Same seed, same events — nothing real leaves the building.
seed 42
1,000 events
no real data
Where data has gravity
Assets grow with the number of tasks that depend on them. Density says where to look, not what to automate.
Customer master · 8 depts · 12 tasks
Find the intersections
Data shared across departments, and the manual handoffs that carry it — e-mail, Excel, re-keying.
Claims
Sales
manual handoff · e-mail
Scenarios and the journey of one record
Design the human–AI split task by task, then follow a single record from trigger to last stop.
Human-ledAI-assistedAI-prepared · approvedBounded autonomous
Retrieve customer contextautonomous
Extract claim fieldsapproved
Decide coveragehuman
Put a system in crisis
Stop one system. Watch queues build upstream and departments starve downstream — relative, never a benchmark.
Policy systemoutageNormalCrisis
Claims queue3.2×
Collections2.1×
Underwriting1.4×

Data becomes intelligence.

From evidence-backed suggestions to a workshop decision to a prompt your team can ship — without losing the source of a single claim.

AI suggestions
Candidates derived from the map — repeated retrieval, manual handoffs, duplicate validation. Each one carries its evidence and a confidence tier; none is a recommendation.
lowmediumhighEVIDENCE
Workshops
Six stages with the people who own the work: scope, discover, define, design the human–AI split, rehearse on synthetic data, prioritise. Every output stays an assumption until approved.
STAGE 4 / 6DESIGN
Vibe-coding handoff
The use-case canvas becomes a build spec and a prompt pack. Pilots ship with the approval point and exception route already written in.
SPEC → PROMPT → CODEhandoff

Your data, your perimeter.

A sandbox that never lets raw company data leave, and a model gateway that routes each task to the right model — local or cloud — under your policy.

Sandbox
Raw records stay inside. The map is built from structure; simulations run on a seeded synthetic twin.
YOUR PERIMETERRaw datarecords · PII · documentsStructuredepts · tasks · flowsSynthetic twinseed 42 · repeatableMasked fieldsnames → tokensAPPROVALonly approved · masked output leavesraw data never crosses the line
Synthetic twinPII maskingApproval gateAudit log
AI model gateway
One endpoint, many models. Route by sensitivity, cost and latency: on-prem for regulated fields, cloud for the rest.
ROUTE BY SENSITIVITY · COST · LATENCYapproved · maskedMODELGATEWAYPOLICY · REGION · AUDITLocal LLMClaudeChatGPTGeminiAWS BedrockGoogle Vertexon-prem · air-gappedAnthropic APIOpenAI APIGoogle AI APIyour AWS regionyour GCP project■ sensitivity tier allowed
// Data Gravity

Map your company.
Intelligence starts where data pulls.

A few sentences about your company is enough to start.
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