Actionable intelligence needs accurate data
Decisions on policy, budgets and public services need answers that are correct, current and traceable. Too many AI vendors rely on general tools never built for your data.
AI that your organisation owns and controls
Custom AI systems that turn large, complex and changing data into accurate answers, with full control of your data.
The problem
Where general-purpose AI breaks down
Your data sits in silos
Records live in separate systems, formats and teams. Each looks routine on its own. The pattern that matters only appears when they are connected.
Sovereign data cannot leave
Citizen records and sensitive state data are bound by residency and security rules. Sending them to a foreign AI service is a risk few institutions can accept.
Institutions do not need more AI. They need intelligence they can trust, trace and keep in-house.
Who we are
Gani Labs builds custom AI systems for organisations that need accurate answers
We are the custom build arm of Gani.AI. We design the complete system: the data model, retrieval, AI agents and deployment, on the same engine that runs Gani.AI's legal platform every day.
2024
Core engine in daily production use since
5,000+
Users on the engine through Gani.AI
ISO 27001
Certified information security
4
Markets: Indonesia, Singapore, Japan and India
Side story · Where the engine comes from
We built it for law first: the hardest test for AI
Law changes constantly
Amendments replace articles. New regulations revoke old ones. The answer must be the one in force today.
Every answer needs a source
A lawyer cannot act on a claim they cannot trace to the article, decision or clause behind it.
Many languages and systems
Indonesian, Japanese and English law, each with its own structure and terms.
Confidential by default
Client matters can never leak, between users or outside the firm.
5,000+
Gani.AI users
~25
Enterprise clients
4
Regions live: Japan, Singapore, Indonesia, MENA
What law taught us
Three capabilities proved on legal work
Law ontology
Laws, articles, amendments, regulations and decisions as connected entities, each with the date it takes effect and what it replaces.
Advanced GraphRAG
Graph-Inspired Agentic Retrieval with Unified Traversal: the AI walks the graph step by step and checks every fact is current.
Advanced context management
Only what matters reaches the model: material the user may see, linked to the question and still in force.
A slice of the law ontology · select a node
Amendment
Replaces the text of an article from a set date. The engine keeps both versions and knows which one was in force on any day.
From law to any domain
The same patterns exist in every organisation
| Pattern | In law | In your organisation |
|---|---|---|
| One record replaces another | An amendment replaces an article | A revised SOP replaces the old one |
| A rule carries out a policy | A regulation implements a statute | A procurement rule implements a purchasing policy |
| A record explains an event | A court decision interprets a law | An inspection report explains a site incident |
| Access depends on role | Client matters stay inside the team | Each user sees only what their role allows |
An engine that stays accurate on law stays accurate on your data.
The engine
Three capabilities, one system you own
Finding the latest correct information
We model the entities in your data, how they relate and how their status changes over time. Retrieval then collects context in steps, choosing the right tool at each step and checking that the data is current.
Your ontology: entities, links, status
"Which sites had more incidents this month than last month, and why?"
Answer: the sites with more incidents, the likely cause at each, and the source of every fact.
Agents that plan, act and check their own work
One coordinator plans the task and hands each part to a specialist agent. They share the same tools, permissions and checks.
Autonomous agents
Work on their own, all the time, inside limits you set.
- Watch live data and detect changes
- Send alerts when a rule or limit is crossed
- Prepare regular status summaries
- Read and analyse only; never change records
Supervised agents
Work with a person, who stays in control of every decision.
- Answer questions and run analysis on request
- Compare options and show the evidence
- Propose actions for a person to approve
- Stop and wait before any important step
Agents see only what the user or role may see
Every step, tool and source is recorded
Important actions always need a person's approval
Documents, databases and live data in one system
SourcesERP and SQLSharePointRegistersDocumentsScans (OCR)Live feeds
- Step 1
Read
Connect directly, sync on a schedule, or read scans with OCR.
- Step 2
Structure
Pull out the fields you define. Tables become entities.
- Step 3
Link
Connect records to people, assets, places and events.
- Step 4
Track
Keep every version, so status is known at any date.
- Step 5
Reason
Detect changes, count trends, find conditions and limits.
Millions of records and thousands of files, each summarised, classified and indexed automatically. Scheduled jobs pick up new or changed data and record every run.
What people cannot see
The system connects facts no single person sees together
Each fact sits in a different system, format and team. Alone, none of them is a warning. The graph links them, and the AI explains what they mean together, with the source of each fact.
Live feed
Main route to Region 4 closed this morning
Database
Stock in Region 4 below the minimum level
InsightRegion 4 will run short soon, and its only supply route is blocked.4 sources · 4 formats · 1 answer
Scanned agreement
One supplier serves all of Region 4
Report, 3 months old
Demand in Region 4 is rising
All data
Only what you may see
Linked to the question
Still current
Answer with sources
Selected projects
Custom systems already built on our engine
Regional law firm
A firm-owned AI platform for its legal operations. Chosen over a leading US legal AI product after a head-to-head evaluation.
Outsourcer for public buyers
Graph-based retrieval over procurement rules and records, so staff always find the current rule and the records linked to it.
Research institute
52xFaster reporting, annual to weekly. 850K+ articles from 25+ countries, about 142K added a month.
Services company
A custom AI system for document-heavy operations, focusing on HR and outsourcing services.
Client names are confidential. References are available on request.
How we work with clients
Start small, measure the results, then expand
- Phase 1
Discover
Workshops to model the data, a review of sources, and a set of real questions to measure success.
- Phase 2
Pilot
One area built from start to finish. Your own experts score it with the question set.
- Phase 3
Expand
More data sources, users and locations. Security review completed and the system handed over.
- Phase 4 · Ongoing
Operate
Monitoring, re-testing when new models are released, and training for your team.
You see measured results before you commit to scale, and you own what we build.
Why Gani Labs
Built for work where accuracy is critical
Proven on law first
Our engine was built and tested on legal work, where an outdated or unsourced answer is never acceptable.
Context and knowledge first
We model how information connects, so every answer is current, relevant and backed by sources.
Your data, your system
Data stays in your environment, on dedicated infrastructure or your own servers. You own what we build.
Tested and measured
Your experts score every major release against real questions. We report what did not work, too.
Built by legal and engineering insiders: founders who built a top-10 Indonesian law firm, and an engineering team that runs the engine in production every day.
Security and deployment
Your data and models stay inside your organisation
Your environment
The system runs on infrastructure dedicated to you, in your jurisdiction. Your questions and documents stay there and never train anyone's model.
On-premise option
Models, databases, pipelines and monitoring on your own servers. No internet connection required.
Flexible model choice
We select and tune models for each task, test them on your own questions, and replace them when better ones arrive.
- Role-based access by project and team, checked at every level
- Audit logs of access, changes and permissions, kept at least a year
- Full tracking of every agent step, tool and source in an answer
- No training on client data. Files never shared directly from storage
- ISO 27001 certified, with single sign-on and admin controls
AI that your organisation owns and controls.
Tell us about the data you hold and the decisions it should support. We will come back with a scoped discovery plan.