Corporate engagement

Cognition‑aware AI,
deployed where it matters.

For enterprises with cognitive stakes.

Foundation Models are powerful and indeterminate. We bring the design discipline that gives them function in the high‑stakes contexts your organisation depends on — finance, law, regulated industries, mental health, executive deliberation, cultural reasoning.

WHY US

Why the Institute

Hajime Institute is small by design and unusual by intent. Its director has founded four operating companies in AI — including Cinnamon AI and Nexus FrontierTech, both of which deployed document AI inside Japanese and international enterprises at scale — while continuing to publish peer‑reviewed research at the venues that judge the field.

That dual track is not biography. It is the only methodology under which the engineering of AI‑meeting‑cognition can survive: scientific work disciplined by what runs in production, engineering work disciplined by what defends in peer review. When the Institute engages with a corporate partner, both halves of that discipline are in the room.

We do not promise the answer up front. We promise the discipline that will produce one — and the honesty to tell you when a chosen architecture will fail before it does.

MODEL

How we work with partners

Research‑led, consulting‑and‑advisory delivered, implementation by partners.

We do not staff long implementation teams. We carry the research and the methodology; we lead observation and milestone design as consultants; we advise on integration. The implementation itself is carried by your team, by a partner firm, or by an Institute‑associated operating company.

Ⅰ · Strategy & Observation

Cognitive‑context audit.

We come in early, decompose the cognitive context your AI must engage (the user's mind, the document of record, the deliberating team, the surrounding culture), and design the functional metrics by which success will actually be measured — distinct from the benchmark metrics that hide failure modes.

2–8 weeks. Output: a context map, a metric specification, and a milestone plan.

Ⅱ · Prototype & Severity Test

Build, then audit against failure.

For selected engagements, we build a prototype directly inside the Institute (or in tight partnership with one of our operating partners) and severity‑test it against pre‑registered failure modes. The discipline is to fail visibly before deployment, not invisibly during it.

6–16 weeks. Output: working prototype, severity-test report, refusal logic.

Ⅲ · Deployment Advisory

Integration into operating institutions.

Once your engineering team or partner firm carries the implementation, we serve as ongoing advisor on integration — the persona contract, the deployment‑layer architecture, the audit interfaces, the regulator‑ready evidence trail. The Institute remains accountable for the discipline; you remain accountable for the deployment.

Ongoing. Output: integration playbook, audit interfaces, advisory access.

Ⅳ · Research Partnership

Joint paper, joint discipline.

For partners willing to share data and outcomes under appropriate protection, we co‑author peer‑reviewed publications that make your deployment a founding case study in cognition‑aware engineering. This is the highest form of engagement and the one that survives longest.

12–24 months. Output: peer-reviewed publication, public methodology contribution.

CONTEXTS

Application contexts

Four cognitive contexts where we have built, deployed, and published. Each maps to a Programme; each carries deployed exemplars; each can become the foundation of an engagement.

Ⅰ

The Mind — customer-facing AI, coaching, mental health.

Sectors · customer support · coaching · mental-health support · education

Cognition‑aware engineering for the surfaces where AI meets a human mind under pressure. The same instruments — affect calibration, distortion detection, trait-aware personalisation, escalation and refusal logic — that support a coaching conversation also govern whether a customer‑support agent de‑escalates a difficult call or compounds it. Engagements in clinical or regulatory contexts proceed only with appropriate clinical advisory in place. The Programme works on AI that supports human reasoning — not on persuasion-for-sales, which is incompatible with its founding principle (Human Intent over Algorithm).

Functional metrics — emotion‑reasoning fidelity, distortion detection, escalation precision — designed from field observation rather than borrowed from benchmarks. Published in EMNLP, ACII, ACL, ICALT, and PACLIC.

See the programme →
Ⅱ

The Record — audit, contracts, financial statements, regulatory filings.

Sectors · finance · law · regulated industry · supply chain

Trustworthy document reading at a standard defensible to auditors, lawyers, and regulators. Provenance treated as a hard constraint, not a feature. The Institute's directorship has years of operating deployment in this exact domain (Cinnamon AI, Nexus FrontierTech).

Operating record: years of audit‑defensible deployment across finance, insurance, and regulated industry — through the Director’s portfolio companies and partner evaluation suites released to the community in stages.

See the programme →
Ⅲ

The Team — strategic deliberation, executive decision support.

Sectors · executive committees · strategy · corporate development

Multi‑agent dialectical systems for strategic decisions whose disagreements cannot be optimised away — preserving the irreducible tensions that define the problem, rather than collapsing them into a smooth recommendation no one in the room can defend.

Field protocols — decision cockpits, divergence labs, KPI‑tree co‑creation, orchestrated agents — operationalised within strategy functions and executive committees, including ongoing advisory engagements with leading Japanese enterprises.

See the programme →
Ⅳ

The Culture — research collaborations on organisational and cultural cognition.

For research-led engagements with HR & organisational science partners

This Programme is primarily a research initiative on computational distributed cognition — multi‑agent study of how teams, institutions, and cultures reason together. We engage selectively with corporate partners who are interested in research collaboration on these questions, rather than off-the-shelf diagnostic products.

Research anchors: Organisational Dynamics simulation (CogSci 2026) · a community validation discipline for multi-agent simulation.

See the programme →
RECORD

Operating track record

The Institute's directorship carries an unusual operating record for an AI research organisation. Cirius (founded, acquired by Yahoo! Japan). Naked Technology (founded, acquired by Mixi). Cinnamon AI (founded — Japan–Vietnam document AI, years of enterprise deployment in finance, insurance, and regulated industry). Nexus FrontierTech (founded — global document AI, deployed at financial-services scale). Current advisory engagements include leading Japanese enterprises across telecommunications, financial services, and strategic consulting.

This operating depth shapes what the Institute can credibly offer. We do not arrive with a generic AI consulting deck. We arrive with the specific scars and metrics that the operating side gave us — and the academic discipline that lets us turn those scars into instruments.

For the formal terms of Sponsored Research — and how it differs from Collaboration and Patronage —

How the Institute works with partners →

For the institute's full philosophical position behind these engagements —

Read the Director's letter →

ENGAGE

Correspondence

Open a
conversation.

A note indicating the nature of the inquiry — research, advisory, or otherwise — is the most useful place to begin.

A note via the form below — the Director responds personally.