Our Story

We built Creso.ai because we lived the problem.

Over the course of twenty-five years at Level Access our founder watched deals get missed or evaporate for reasons that had nothing to do with price or product. They slipped away because our teams were working from different facts. Reps chased stale leads, marketing poured budget into duplicate contacts, and leadership made decisions from dashboards that told half the truth. It sucked.

One quarter we lost a seven-figure deal because the account owner in the CRM didn’t match the LinkedIn champion; another time, two reps wasted weeks nurturing the same executive because no one could trust the canonical contact. We stitched answerstogether in spreadsheets, Slack threads, and frantic calendar invites, and still the underlying gap never closed. It was terrible and it never ended.

What we found as we researched: that frustration wasn’t unique to our teams — it was systemic.

Frustration with Existing Solutions

We tried every tool in the stack:

– CRM vendor “fixes” that meant more fields, more manual work, and more checkpoints.

– Data vendors promising freshness but delivering stale snapshots and inconsistent schemas.

– Point solutions that addressed deduplication or enrichment—but never both in a way that stayed current.

– Internal processes—mandatory fields, data stewards, and cleansing projects—that slowed teams and never scaled.

The common theme: solutions treated symptoms, not root causes. They acted like band-aids on an architecture problem. That’s when we stopped asking “How do we make the existing stuff better?” and started asking a different question: “What would a go-to-market system look like if it were designed from first principles to never lie about who a company or person is?”

From Concept to Product

We started small and focused on the things that hurt the most.

1. Minimum Viable Painkiller (MVP)

Built a lightweight dedupe engine that integrated with two CRMs and the email headers teams already had. Launched with three customers who agreed to be brutal about their data. Saw immediate impact: fewer duplicate outreaches, cleaner reporting, and regained trust in pipeline metrics.

2. Build the Canonical Graph

Expanded to fuse CRM records, enrichment feeds, social profiles, and email signals into a single database. Engineered identity resolution across 250M+ companies and, eventually, 1.2B people. Designed the system to automatically dedupe and refresh in real time.

3. Add Intelligence on Top (Now)

Layered relationship strength scoring and market mapping to reveal untouched accounts. Introduced AI-generated outputs—buyer blueprints, deal digests, and pitch primers —so reps could act, not just look. Built prioritization models focused on readiness-to-buy signals and relationship capacity.

4. Scale and Iterate (The Future)

Invest in performance, APIs, and UX so the platform fits into daily workflows rather than creating new ones. Partner with early adopters to refine signal sets and scoring, making insights actionable and trusted. Grow the knowledge graph iteratively, learning from every integration and customer use case.

Our Values and Mission

Our mission: Eliminate go-to-market blind spots so teams can focus on closing the right deals with confidence.

What drives us every day:

-Accuracy: Truth matters. We bake verification and freshness into every layer.

– Practicality: Solutions must fit workflows—not create more work.

– Curiosity: We’re relentless about finding signal in noise.

– Empathy: We build for the people doing the heavy lifting—reps, managers, and ops.

– Privacy and Responsibility: We respect data rights and design for responsible use.

We believe better data leads to better decisions, and better decisions lead to faster, fairer outcomes for customers and teams alike.