Understand What Data Does. Control What AI Becomes.
Metadata tells you what data is. EKIP reveals what data does. Knobs identify the highest-impact actions to improve AI quality, evaluation coverage, reliability, compliance, and business outcomes.
Platform access is available to approved customers. Detailed project intelligence, information geometry, and optimization workflows are available after login.
Data
Training, evaluation, production, regulatory, and workflow data.Understanding
What matters, what is missing, and what is risky.Action
Collect, evaluate, learn, optimize, monitor, and govern.Outcomes
Better coverage, better evaluation, better AI decisions.↓
Less wasted review and labeling effort↑
Higher-value evaluation and learning data✓
Better visibility into risk and coverage↺
Continuous AI improvement cyclesMost AI teams have more data than understanding.
Enterprise AI teams manage millions of records, thousands of evaluations, many prompts, multiple models, and complex agent workflows. The hard question is no longer whether data exists. The hard question is which data actually changes outcomes.
10M+
Calls, documents, transactions, records, prompts, traces, or interactions.50K
Evaluation examples that may still miss critical risk regions.100s
Models, prompts, workflows, and agent variants to compare.?
Which examples matter most? Which blind spots remain?EKIP helps teams focus on the data, evaluations, and decisions that drive AI outcomes.
The platform is designed for teams that need to build trustworthy AI faster, evaluate smarter, reduce unnecessary labeling, and continuously improve models, prompts, agents, and policies.
Move beyond cataloging data. Understand its influence.
Traditional data platforms help teams understand what data is. EKIP is designed to help AI teams understand what data does and how it can be used to control outcomes.
What data is
- Source
- Owner
- Schema
- Tags
- Lineage
What data does
- Influence
- Coverage
- Representation
- Risk
- Learning value
How outcomes change
- Collect
- Evaluate
- Train
- Review
- Optimize
Metadata tells you what data is. EKIP tells you what data does. Knobs help you control outcomes.
EKIP organizes AI improvement into practical intelligence layers.
Each layer answers a different operational question while keeping deeper project intelligence available inside the authenticated platform.
Dataset Intelligence
Understand what data matters and where critical coverage gaps exist.
Evaluation Intelligence
Build high-value evaluation datasets that measure what truly matters.
Learning Intelligence
Build high-performing domain AI with less training and labeled data.
Optimization Intelligence
Identify the next model, prompt, workflow, or policy improvement.
Governance Intelligence
Monitor risk, compliance, reliability, and operational readiness.
Use EKIP across domains where coverage, evaluation, learning, and risk matter.
Public visitors see the platform outcomes. Logged-in users see project-level details, datasets, regions, blind spots, subsets, and recommendations.
Financial AI
Analyze earnings calls, market signals, options, economic context, and evaluation coverage.
Customer Compliance
Use call transcripts and regulatory knowledge to identify complaint themes, risk areas, and evaluation blind spots.
RAG Systems
Improve grounding, source coverage, citation quality, hallucination testing, and knowledge gap detection.
Agent Workflows
Understand task success, tool-call failures, policy boundaries, escalations, and workflow reliability.
Language AI
Measure language, dialect, demographic, geography, and usage-context representation.
Compliance & Risk
Map internal policies and regulations to production data, evaluation coverage, and potential violations.
The platform is organized around decisions, not just dashboards.
EKIP is designed to help approved users move from data volume to specific, high-impact actions.
What data should we collect?
Identify underrepresented regions and high-ROI collection opportunities.
Are we evaluating the right examples?
Build smaller, higher-value evaluation sets that preserve coverage.
What interactions create the highest risk?
Prioritize cases where complaints, policies, and regulations intersect.
What should we optimize next?
Recommend the next highest-impact model, prompt, data, or workflow improvement.
Continuously improve AI through better understanding, measurement, learning, and optimization.
Data
Production data, training data, evaluations, traces, policies, and outcomes.Understanding
Identify what is covered, what is missing, and what matters most.Evaluation
Measure accuracy, hallucination risk, reliability, and task performance.Learning
Improve domain AI with less data and higher-value examples.Optimization
Prioritize the highest-impact changes across models, prompts, agents, and policies.From raw data to controlled AI outcomes.
EKIP gives teams a consistent way to understand AI project readiness, improve evaluation quality, reduce wasted labeling, and keep systems aligned as production behavior changes.
Designed for teams that need trustworthy AI, faster.
EKIP avoids exposing implementation details on the public landing page. Instead, the platform communicates the outcomes approved customers can operationalize after login.
Smaller, smarter evaluation sets
Focus evaluation on the examples that best measure quality, reliability, and risk.
Reduced labeling effort
Prioritize human review and labeling on examples that provide higher learning value.
Earlier blind spot discovery
Find missing coverage before it becomes a production quality, risk, or compliance problem.
Better AI project visibility
See project readiness across data, evaluation, learning, optimization, and governance.
Faster optimization cycles
Identify the highest-impact changes across models, prompts, agents, and policies.
Stronger governance posture
Connect data coverage, evaluation evidence, and operational risk in one platform.
Move beyond metadata.
Understand what data does. Discover what matters. Control AI outcomes with EKIP and Knobs.
Already approved?
Sign in to view your projects, datasets, intelligence layers, recommendations, and governed AI improvement workflows.
Sign InRequest Access