Customers

Teams using Maya to think out loud.

Six illustrative pilot deployments across consulting, legal, finance, healthcare, education and government. Each shows how a Maya room replaced or sped up a real decision workflow.

Pilot customers and design partners

Illustrative pilot customers

Consulting
3.4x
faster decision memos

A 40-person strategy firm replaced its weekly internal review with a Maya room and shipped client memos the same afternoon.

Northwind ran every recommendation through a partner review on Friday afternoons. Drafts often waited two business days for sign-off, and partners were spending 6 to 8 hours a week on red-team review.

After moving the review into a Maya room with a custom panel of three advisors, partners now review the synthesised verdict, the dissent column, and the underlying takes in a single sitting. Memos go out the same day they are drafted, and partners spend their review time on the 10 to 15 percent of items where the models disagree.

Maya replaced an internal review meeting. Three independent takes, one synthesis, and we ship the brief the same afternoon.
Marcus Holm, Director of Research, Northwind Advisory
Legal
62%
less time on first-pass review

A 200-attorney firm uses Maya panels to triage long-form contracts and surface dissent before partner review.

Bell and Pace was burning associate time on first-pass redlines that produced near-identical findings across reviewers. The firm wanted a way to surface only the genuinely contested clauses for partner attention.

With Maya, associates run a panel against the deal documents and receive a verdict that flags both the consensus issues and the points where the three models pushed back on each other. Partners now spend their time exclusively on flagged dissent, and the firm has reclaimed roughly two associate-days per major deal.

The agreement and dissent labels are addictive. I trust an answer more when I can see exactly where the models pushed back.
Sara El-Amin, Senior Counsel, Bell and Pace LLP
Finance
11 minutes
from question to verdict

A growth-stage investor compresses thesis testing into a single Maya room with sourced takes from each model.

Lattice partners wanted faster iteration on investment theses without losing the rigor of an investment committee. Single-model answers felt too confident; switching between tools was slow.

A standard Lattice room now opens with the firm's investment thesis as project memory, three model takes against new data, and a verdict that explicitly calls out where the takes diverge. The team treats the dissent column as a cheap proxy for committee debate before the real meeting.

We stopped pasting the same brief into three tabs. The verdict catches things any single model misses.
Priya Anand, Head of Strategy, Lattice Capital
Healthcare
0
PHI sent to model providers

A regional hospital network deployed Maya with BYOK and region pinning to use AI without exposing patient data.

Coastline needed AI assistance for clinical operations writing, policy review, and education materials, but PHI handling rules and a strict procurement process had blocked every tool the team evaluated.

Maya's Enterprise plan with bring-your-own-key and EU region pinning let Coastline route requests through their own model accounts under their own data agreements. Audit logs and SSO closed the procurement loop in a single security review.

BYOK and SSO landed the procurement conversation in one call. Our security team had no follow-ups.
Hiro Tanaka, VP Information Security, Coastline Health
Education
2 weeks
to onboard a new analyst

A multi-campus education group uses workspace memory so new analysts ramp on prior engagements in days, not weeks.

Vertex hires research analysts on a rolling basis and was losing 4 to 6 weeks per hire to context onboarding across past projects, internal frameworks, and ongoing client work.

Each Vertex client now lives as a Maya project with persistent memory, instructions, and prior verdicts. New analysts open the room and ask questions against the project the same day; ramp time has dropped to about two weeks measured by first independent deliverable.

We piloted Maya across three teams and renewed before the trial ended. The cost per decision dropped and quality went up.
Jordan Reeves, Chief of Staff, Vertex Education Group
Government
100%
of public comments triaged

A municipal policy office uses Maya panels to read every public comment, summarise themes, and flag dissent for human review.

Atlas Civic was receiving thousands of public comments per consultation cycle and could only sample-read perhaps 5 percent. The remainder went uncategorised, undermining the consultation's legitimacy.

A scheduled Maya panel now reads every comment, produces a verdict-style summary per theme, and explicitly surfaces minority and dissenting positions. Policy staff review the summaries and dive into the raw comments only where the models flagged uncertainty or strong disagreement.

We owed it to residents to read every comment. Maya gives us a way to do that honestly without pretending automation is judgment.
Naomi Brooks, Director of Civic Engagement, Atlas Civic Co.

Stories above are composite case studies based on pilot deployments and design-partner interviews. Names and metrics are illustrative; specific customer attributions are published with permission as engagements convert. Contact us to be featured as a launch partner.

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