Maximize every customer's lifetime value
Predict the Future
Surface key signals within your account base, plan a roadmap of actions, and provide your team the context needed to keep every customer growing.
Built for your stack
Coraleye pulls scattered customer signals into one pane of glass, enriching what you already know with everything you don't.
24/7 oversight
Adaptive evaluations in gated, secure environments, with human-in-the-loop auditing.
Your company's context engine
Coraleye learns from your history to model how your customers will behave, and what it takes to move them toward the outcome you want. Our agents sharpen with every account they work, building a context engine unique to your business.
Usage drop, champion departure
Links LinkedIn activity with usage data. New CTO previously used a competitor's product at their last role.
Precedent workflows surfaced
Draws best practices from knowledge base and prior successful sequences.
Account sentiment over time
Continuously monitors how the sequence is evolving, logging customer behavior and new update into our model's context engine.
Under the surface
The parts of Coraleye you don't see in your workbench, quietly running on every account, every day.
Evaluate
Our models evaluate every account against historical evidence and simulated outcomes.
- Cross-references tickets, calls, messages, usage, and external data.
- Evaluations run constantly, so insights are never stale.
- Every insight is auditable with open reasoning, never a black box.
Exec sponsor silent for 31 days; active seats down 22%.
Champion resigned last week; admin seat unassigned.
Learn
Account context survives handoffs, with every interaction contextualized and committed to memory.
- Renewal date, prior sponsor change, and the last two flags are committed to memory.
- A new signal picks up where the last one left off instead of starting cold and losing the thread.
- The longer Coraleye runs, the more context it has to work with.
Renewal date, prior sponsor change, and the last two flags are committed to memory. A new signal picks up where the last one left off instead of starting cold and losing the thread.
June: champion moved teams, replacement sponsor never logged in.
July: seat usage sliding, support tone turned transactional.
Act
Tailored plays derived from account context and simulated outcomes instead of mass templates.
- When an account gets flagged, Coraleye hands you the specific next step rather than a colored dot and a note to investigate.
- Coraleye works the account towards a positive outcome, adjusting the approach across the weeks or months it takes to get there.
- Your team can approve each play before it goes out. Whatever they change becomes part of how the next play gets written.
Hi Dana, introducing myself as your new point of contact, referencing the Q2 savings report your team presented, and proposing a 20-minute re-onboarding call this week.
Day 3 · Follow up with usage-impact one-pager
Day 10 · Re-onboarding call with new VP Ops
Escalate to Meridian's manager and loop in your own leadership.
Re-establish an executive sponsor and convert the renewal into a 2-year term before the 34-day window closes.
Trace
Every conclusion comes with the evidence and simulated patterns that produced it.
- Every play links back to the specific accounts and interactions that shaped it, so your team can check the reasoning rather than take it on faith.
- You see the evidence and the patterns behind a conclusion before you are ever asked to act on it.
- Your team has the why behind a score they have to defend.
Sponsor-silence signals like this recover in about two-thirds of comparable cases when a re-introduction happens within five days.
A similar account sat unmanaged for 11 weeks before churning.
See it in action
A look at the workbench, an account, and a play drafted end to end.
Built by
Duane Chen
Co-founder, CEO
Software investing and operations, including retention improvement initiatives.
Chris Mok
Co-founder, COO
LP relationship management, sales, and implementing AI technologies.
Arman Popli
Co-founder, CTO
Production LLM systems for enterprise clients in regulated industries.
Coraleye, Inc. · New York