Akil Ventures helps enterprises and nonprofits make their data agent-ready — through consulting, education, and implementation of products we've already built.
Whether the data is NYC's public records, a nonprofit's grants ledger, or an enterprise's CRM, AI agents need the same things: structured calls, stable identifiers, source provenance, and a way to know when an answer is trustworthy. Most data — public or private — fails on all four.
Agencies build for transparency. Portal vendors build for publishing. AI companies build for general reasoning. The agent-data layer is nobody's job — except ours.
askAkil.ai is the guided workbench for people. Akil MCP is the civic data layer for AI agents. Same NYC public-record layer, different entry points.
Consulting & Education
AI systems need source-aware structure when they hit messy real-world data. We help enterprises and nonprofits build data and workflow layers grounded in their own records, their own workflows, and their own accountability requirements. Advisory, training, hands-on build, or implementation of our existing products — scoped to the outcome.
Turn public records, internal databases, spreadsheets, PDFs, and APIs into structured tools that AI assistants can search, cite, and use reliably — including MCP servers, tool catalogs, agent workflows, and the source-aware identifiers that keep answers grounded.
Hands-on education for teams learning to work with AI agents, coding assistants, research tools, and MCP-connected workflows. We teach practical patterns for scoping tasks, verifying outputs, protecting sensitive data, and adapting as the tools change.
Nonprofit, healthcare, and public-sector systems: CRM cleanup, grant operations, compliance tracking, intake, finance workflows, and staff-facing tools. The goal is cleaner work and better decisions.
Products
Everything we build starts with a real workflow: finding the right public record, understanding a district, checking a property, tracing public money, or making nonprofit operations auditable. Clients can use these products directly, or we can implement variations for their domain.
askAkil.ai
The guided product experience for exploring NYC public records. Start with a map, address, building, district, organization, agency, license, or funding question and get source-backed answers tied to reusable identifiers.
Open the workbench →Akil MCP
The agent-facing layer behind Akil. Connect AI assistants and automations to structured NYC public records across funding, property, procurement, lobbying, land use, licensing, housing, and neighborhood context.
See MCP access →Akil OS
The same operating-systems discipline applied to nonprofit operations. Grants, finance, compliance, client management, and HR become modular records that connect through shared identifiers, permissions, and workflows.
Learn more →About
"Akil" means intelligent in Arabic — but not the artificial kind. The useful kind: knowing what question matters, which records matter, and what workflow should come next. Akil Ventures combines operator experience, public-sector data work, and AI-native product development to build systems that are legible, durable, and useful in the real world.
Jie brings over 20 years of experience spanning proprietary trading, scaled operations, and technology consulting — with a foundation in information systems and business technology from Carnegie Mellon University. He spent 11 years as a senior equity trader on Wall Street, then co-founded COFFEED, a social enterprise coffee company that grew to 16 locations, $9 million in revenue, and 120 employees. Today he works at the intersection of AI, operations, and public-sector data — building Ask Akil, a New York City civic intelligence platform, and Akil OS, a modular operating system for nonprofit operations.
We start by understanding how work actually happens: who enters data, who checks it, what breaks, what must be trusted, and what should be automated.
The AI field changes too quickly for stale playbooks. We teach from live practice: building systems, testing new tools, documenting what works, and knowing where agents still need human judgment.
Nonprofits, healthcare, community organizations, and public-sector teams need systems that handle messy data, privacy, compliance, and real accountability. That is the environment we build for.
One conversation. Clarity on what you need now — and what can wait.
or email us directly at [email protected]