Enterprise data should end in a decision.

KNOWIDEA exists to turn fragmented business evidence into recommendations leaders can inspect, challenge, and act on, with the reasoning attached.

The problem was never a lack of dashboards.

Across strategy, operations, and applied science, our founders saw the same failure pattern: teams had more information than ever, yet consequential decisions still depended on manual synthesis, stale reports, and disconnected judgment.

KNOWIDEA was built to close that gap. We connect the evidence a business already has, place it in market and operational context, and turn it into a recommendation that can withstand scrutiny.

The goal is not more analysis. It is a clearer decision, reached sooner, with the rationale visible to everyone responsible for the outcome.

The sole purpose of KNOWIDEA is to provide clarity and trust.

Your data

They look at the two cards in front of them and bet.

Your dashboards. Your quarterly numbers. Your internal systems. That is the whole hand most BI tools are built to show you.

Your data + table + deck + competitors

What a winning player actually sees.

A good player reads the board, the players, and the patterns.

Same two cards. Completely different decision.

Two things close the gap. Neither of them is more data.

Clarity

“I know what this means and what to do about it.”

Context
Benchmarking
Expected value

Trust

“I can defend this decision to the board on Monday.”

Verification
Traceability
Audit

Now that you know what’s lacking from your data, do you know what stage of data analytics your company is at?

Most data-rich companies are stuck at diagnostic. A value-versus-difficulty chart across four stages: Descriptive (what happened?), Diagnostic (why did it happen?), where you are most likely to be, Predictive (what will happen?), where you think you are, and Prescriptive (what would be best to happen?), where you should be. The maturity gap: a $100M BI investment that never progresses past diagnostic cannot produce decisions. It produces more questions, which become more dashboards, which never close the loop.

Verified Predictive Intelligence Engine.

KNOWIDEA VeriP.I.E. Framework. Data plus Context equals Information: connect and search across every scattered internal dataset for the exact piece of information related to the question asked, with 100% accuracy, using a SQL-to-text agent. Information plus Pattern Recognition equals Insight: detect patterns and anomalies using benchmarking and a deep research agent. Insight plus Expected Utility equals Intelligence: apply critical reasoning guardrails to arrive at a recommendation for what to do. Intelligence plus Verification equals Reasoning: keep the entire chain auditable back to the first data point, verified at every stage with neurosymbolic AI. Reasoning plus Human Judgement equals Decision: human judgment executes the decision. Pattern recognition and expected utility deliver clarity; verification delivers trust.

What winning looks like

Clarity comes when you can:

Accurate information

Connect and search across every scattered internal dataset for the exact piece of information related to the question asked, with 100% accuracy.

Insightful patterns

Convert that information into insight by detecting patterns and anomalies in it.

Predictive intelligence

Apply critical reasoning guardrails to those patterns and anomalies to arrive at a solution, a recommendation for what to do.

100% verified

Keep the entire chain auditable back to the very first data point, verified at every stage.

The result: answers, dashboards, and board-ready reports for any decision, built from plain English.

How we build

Evidence must travel with the recommendation.

A decision is only useful when the people responsible for it can inspect the sources, assumptions, constraints, and reasoning behind it.

Human judgment stays in the loop.

KNOWIDEA is built to strengthen executive judgment, not replace it. The system structures the evidence; leaders retain ownership of the decision.

Outcomes should improve the next decision.

Recommendations become more valuable when teams can compare what was expected with what happened and carry that learning forward.

The decision layer above your existing stack.

KNOWIDEA works with the systems and teams already inside the business. It does not replace judgment, BI, or the source systems that produce the signal. It connects them around the decision.

Connect the evidence

Bring operational, financial, people, customer, and market inputs into one decision context.

Test the context

Examine benchmarks, assumptions, constraints, scenarios, and downside before a recommendation is presented.

Deliver the action

Give leaders a ranked recommendation with confidence, rationale, and a practical path forward.

Built by people who have lived the problem.

Yatharth Sejpal

Co-founder & CEO

A strategy and operations leader with experience across TD, Manulife, and Mercer. Yatharth leads KNOWIDEA's product and commercial direction.

Brian Zhengyu Li

Co-founder & CTO

A former AWS Applied Scientist and neurosymbolic AI researcher. Brian leads KNOWIDEA's technical architecture and verified predictive systems.

Bring us the decision that matters.

We will show you how KNOWIDEA structures the evidence, tests the assumptions, and produces a decision-ready recommendation.