FieldoraAI
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Company

Built by people who think in systems.

Fieldora AI is an enterprise intelligence company working at the intersection of applied AI, data infrastructure and digital-asset intelligence. We build platforms that enterprises own, operate and can audit.

About Fieldora AI

Intelligence infrastructure, built to be owned.

Our position is deliberate: the enterprises that matter in the next decade will not rent their intelligence. They will own the data, the models and the evidence behind every decision.

Fieldora AI builds a governed intelligence layer for enterprise operations. It connects the systems a business already runs, understands the context in which they operate, and puts predictive, generative and agentic capability to work inside that context.

The platform is deployed in customer-owned environments. Models, prompts, indexes and data stay inside a boundary the customer controls, and every recommendation or agent action is recorded with its sources and approvals.

We work with a small number of enterprises at a time, starting from one workflow with a measurable baseline. That constraint is intentional: depth in a real process is worth more than breadth across demos.

At a glance

  • Focus — enterprise AI infrastructure
  • Capabilities — predictive, generative, agentic
  • Deployment — customer-owned environments
  • Headquarters — New York, United States

How to reach us

How we work

01

Think in systems

Every decision is made with the whole operating picture in view.

02

Build with responsibility

Security, auditability and restraint are part of the design.

03

Communicate with clarity

Plain language, explicit assumptions and written decisions.

04

Own the outcome

Teams carry their work from idea to production and beyond.

05

Operate for the long term

We optimise for durable infrastructure, not short-term noise.

Leadership

The people shaping connected intelligence.

A cross-disciplinary leadership team across investment, corporate governance, legal and technology — with accountability for how the platform behaves in production.

Nina Petit, Chief Investment Officer at Fieldora AI

Leadership

Nina Petit

Chief Investment Officer

Leads investment strategy, capital allocation and investment risk at Fieldora AI, with a focus on AI, enterprise technology and industry applications.

Full profile

Nina Petit serves as Chief Investment Officer. She is a graduate of New York University's Stern School of Business and a Chartered Financial Analyst (CFA) charterholder.

Previously she worked as a Research Analyst at Fidelity Investments, analysing global workplace and macroeconomic trends, researching the financial services sector and managing a sector fund. As CIO she evaluates investment opportunities, oversees capital allocation and manages investment risk, with an emphasis on sustainable business models and capital efficiency.

Noriaki Sakamoto, Executive Director at Fieldora AI

Leadership

Noriaki Sakamoto

Executive Director

Executive experience in venture capital, corporate governance and enterprise strategy, with board-level work across listed technology companies.

Full profile

After graduating from the Faculty of Economics at the University of Tokyo, he joined the Ministry of Economy, Trade and Industry (METI). He later earned an MBA from Columbia University and worked at McKinsey & Company before joining UTEC in 2014. He serves as Planning Director of the Japan Venture Capital Association.

He has served as External Auditor and External Director for technology companies listed on the Tokyo Stock Exchange, including ACSL, Neural Pocket, JDSC, Finatext Holdings, Institution for a Global Society and ELEMENTS.

Cheng Jin, General Counsel at Fieldora AI

Leadership

Cheng Jin

General Counsel

Oversees legal affairs, regulatory compliance and corporate governance, with expertise in cross-border transactions, IP and technology regulation.

Full profile

Cheng Jin holds a Juris Doctor from Georgetown University Law Center and an LL.B. from Peking University. He is admitted to the bar in New York and the District of Columbia.

He spent over two decades in private practice and in-house roles spanning corporate law, technology regulation and international arbitration, including cross-border M&A, data privacy and AI governance. At Fieldora AI he is responsible for the legal framework, regulatory filings, contract negotiation and counsel on AI and digital-asset compliance.

Careers

Build the infrastructure behind the next digital economy.

We hire engineers, researchers, product thinkers and operators who want to work on systems that enterprises depend on — and that can be defended in an audit.

Technology R&D

AI and ML engineering, agent systems, security architecture, platform and infrastructure.

Data & Research

Applied research, model evaluation, market and on-chain analytics, data engineering.

Business Development

Enterprise partnerships, strategic accounts, investor relations and regional expansion.

Product & Operations

Product management, workflow design, customer success and deployment operations.

Open roles load here.

Open roles. We publish positions as they open. Until then, send a profile and tell us what you want to build — applications are read by the team doing the work.

Send your profile Contact the team

Contact

Tell us what you are building.

Evaluation, partnership, investment or a career conversation — the message reaches the team that owns the topic.

Email

Headquarters

Wall Street
Financial District, Manhattan
New York, NY 10005
United States

What happens next

A member of the team replies within two business days. For an evaluation we will ask for one workflow, one data source and the metric you already track.