Screen deals, run diligence, and decide with the assumptions in the open.
Capital is at risk on assumptions nobody tested. Tegy reads the diligence material and notes you provide, finds the missing evidence, compares the paths, checks the numbers, and writes a memo your committee can check line by line.
An investment decision can build a track record or destroy capital.
Missing evidence and limited analyst time mean weak assumptions travel into the memo unchallenged. Once capital moves, an untested assumption is expensive to discover.
- Deal screening and commercial diligence
- The investment thesis
- Value-creation priorities
- Acquisition and partnership decisions
Faster screening. Visible risks. A memo the committee can check.
Time back
Faster screening and a first pass of diligence from the material you already have.
Less risk
Tegy surfaces weak assumptions and downside scenarios before capital moves.
A memo you can defend
Reviewable evidence and calculations, with the assumptions labeled.
Lower analysis cost
Senior-grade analysis on a defined question without adding analyst headcount.
Generic AI agrees with the thesis. A consulting engagement is out of proportion to one deal question.
The work behind the decision, done in the open.
Reads what you already have
Notes, spreadsheets, decks, call transcripts, research. Bring it as it is. No clean brief required.
Finds what is missing
The facts your current thinking skips and the risks it hides. Tegy stops to ask you about the assumptions the decision depends on instead of quietly guessing.
Compares the real options
Side by side, with the second-order effects and the numbers checked.
Writes the recommendation
Evidence, assumptions, and next steps shown. Ready to review, share, and hand to the next owner.
One pricing call, start to finish.
A normal AI chat agrees with you. A consulting firm gets it right, months and six figures later. Tegy gives you the rigor now.
The question
We think we're underpriced. Do we raise prices, and by how much, without losing customers?
A normal AI chat
Good question. There are arguments on both sides. Raising prices could grow revenue, but it might push some customers away. A small increase is safer; a big one is riskier. It really depends on your goals and your market.
Sounds good. Agrees with you. Says nothing.
How it's thinking
- Mapped what each segment will actually pay
- Modeled the revenue gain against the churn risk
- Found the assumption you hadn't tested
What you walk away with
- An executive summary
- A pricing playbook
- A market map
- A board-ready deck
- A financial model
- An investment memo
- An action plan
Done in minutes, not weeks.
Bring a real decision.
Founding users get 3 days free. After that, $39 a month per seat covers 10 decisions (solve, review, brief), or $19 a month per seat covers 3.
