Solutions for AI Builders

Autonomy for data teams.
Context for app builders

Turn data into the business context that powers trustworthy AI agents – the foundation to govern, scale, and deploy agents that understand and act.

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01 Detect

Why do our agents give three different revenue numbers?

Context graph · conflict found

Metrics mapped92%
Relationships inferred84%6 joins on ambiguous keys
Definitions certified61%3 conflicting ‘revenue’ definitions
Docs linked48%Glossary not linked to metrics

02 RecommendAwaiting approvalApproved

Merge the 3 revenue definitions into one certified ‘Net revenue’ and link the finance glossary.

03 ActExecutingDone

14 agents re-grounded on Net revenue.

Agent accuracy+31%

Every agent on one certified definition.

Accuracy: +31%
Self-served: +60%
Build time: -70%

Who it’s for

One context layer for data teams and app builders.

For data teams

Semantic Fusion™ is a living semantic layer that connects data and business context. It discovers and maps concepts, metrics, and relationships across structured, semi-structured, and unstructured sources, and evolves automatically with schema changes – so data agents replace dashboards and Slack requests.

For app builders

Deep context engineering made simple: encode business logic and metrics once, as structured, reusable context. Agents explore autonomously, stay grounded in Semantic Fusion™, and run without hardcoding – rapid build cycles that stay accurate without constant upkeep.

Move from what is happening, to…
What’s going to happen, why, and what to do about it.

Semantic Fusion™

Building your context graph

Discovered automatically

1,240 tables scanned
312 metrics mapped
86 relationships inferred
Glossary & 42 docs linked
Schema change absorbed

Context graph

Coverage: 92%
Metrics certified: 284 of 312
Conflicting definitions: 3
Manual modeling: 0 hours

Review queueAwaiting approvalApprovedIn review

Certify 28 new metrics and merge the 3 ‘revenue’ definitions.

Semantic Governance Agent

Definition drift

Agents monitored46

Validation pass rate98.7%

DRF-118Net revenueAnalyzingDrift found · 2 sources
DRF-115Active userAnalyzingConsistent · 99%
DRF-112Churn rateAnalyzingMisused by 3 agents

DRF-118Awaiting approvalApprovedDismissed

Lock the certified ‘Net revenue’ definition and notify its 4 owners.

Hours

To fuse business meaning
from siloed data

Weeks

To implement
an agent

Minimal

Setup effort from
your team

75%

Lower LLM token costs,
while improving accuracy

Trust and reliability

Jedify is designed with the highest commitment to trust, security, and compliance.