Preql AI
6 known investors
An AI-powered platform that uses natural language agents to clean enterprise data and build semantic layers, automating what previously required manual data engineering work.
Also known as Preql Β· Preql AI
Founders & leadership

Investors Β· 6
Also in the syndicate Β· 5
Company profile
researched Aug 2026Preql AI is an enterprise data platform that uses AI agents to make fragmented enterprise data usable by analytics tools and AI applications. The platform performs agentic semantic modeling β automatically mapping business logic, metrics, and definitions across systems β alongside data cleaning agents that resolve mismatches, anomalies, and schema drift on an ongoing basis, and AI-powered reporting that delivers structured outputs into copilots, dashboards, and decision workflows.
The product connects to source systems such as ERP, CRM, HR, and expense platforms, cleans and reconciles data, produces AI-ready structured outputs, and provides continuous monitoring with audit trails and drift alerts. According to the company, its agents autonomously map data relationships, resolve entity conflicts, and construct a governed, queryable semantic layer that acts as an intermediary between AI applications and enterprise data, avoiding large data migration or multi-year consulting projects. Business owners validate definitions through human-in-the-loop workflows, with changes version-controlled and auditable. The company states the platform inherits and enforces existing security policies and access controls, and cites zero training on customer data, end-to-end encryption, and ongoing auditing and testing.
At its 2022 seed announcement the company described a narrower product: a no-code data transformation layer sitting on top of the data warehouse that predicted the required data model, let business users customize metric definitions without SQL, and compiled that logic into reporting-ready datasets written back to the warehouse.
Founding story
Co-founders and Co-CEOs Gabi Steele and Leah Weiss met while leading data teams at WeWork and subsequently ran a data engineering and visualization consultancy. At WeWork they observed a disconnect between business users who need data for decisions and the data teams who structure it: business definitions were handed off to modeling specialists who maintained logic in code but lacked business context, producing distrust in data, frustrated data teams, and unclear ROI on data investments. Preql was founded to abstract away the transformation work while letting business users own definitions.
Business model
B2B enterprise software sold to organizations with complex, fragmented data environments. The company markets a demo-request/sales-led motion with a sign-in gated product, and positions itself across executive, finance, operations, revenue, and technology buyer personas. A third-party directory classifies the business model as B2B.
The sources do not state pricing or contract structure. A third-party directory estimates annual revenue at approximately $3.3 million (range $2.1M-$4.4M, 67% confidence), derived from comparable companies rather than reported figures.
Traction
The website lists enterprise customer logos including Coca Cola, Hearst, MLB Network, Business Insider, Cross River Bank, NHL Network, Outdoorsy, Podia, Protos Security, Magic Mind, Henry Rose, and Leatherback, and claims $100B+ powered by live, reliable data. A third-party directory lists roughly 15 employees and estimates annual revenue at $3.3M. Disclosed funding consists of a $7M seed round announced in May 2022. In February 2026 the company was named a Gartner Cool Vendor in AI for Financial Planning & Analysis.
Latest developments
On 24 February 2026 Preql AI announced it had been named a Cool Vendor in the 2026 Gartner Cool Vendors in AI for Financial Planning & Analysis report (underlying Gartner report dated 28 January 2026). In the announcement the company described itself as an agentic semantic layer for enterprise finance teams and named MLB Network, Cross River Bank, and Hearst Corporation among the organizations using it.
βΈFull profile β market position, technology, go-to-market, geography, history, risks & controversies
Market position
Preql positions itself in the enterprise data quality and semantic layer space, framed as the context layer required for enterprise AI agents and copilots to be accurate. A third-party directory categorizes it under no-code, enterprise, data analytics, MLOps, DataOps, and business intelligence. In 2022 it framed itself as the next step in the modern data stack, building on tools such as Snowflake and Fivetran. It has been recognized by Gartner as a Cool Vendor in AI for Financial Planning & Analysis (2026).
The company positions itself as proactive rather than reactive (catching errors before they propagate downstream), context-aware (agents learn and consistently apply business logic across datasets), and self-improving (adapting as it observes more patterns). It frames itself as the first agentic semantic layer purpose-built for enterprise finance teams, embedding into existing infrastructure rather than requiring data migration, and emphasizes auditability, lineage back to source systems, and human-in-the-loop validation of definitions. In 2022 the differentiation was framed around enabling business users to manage reporting logic without SQL or specialized data talent.
Technology
An agentic platform in which AI agents autonomously discover data relationships, resolve entity conflicts and mismatches, handle anomalies and schema drift, and construct a governed, queryable semantic layer over existing infrastructure including ERP systems, core banking systems, data warehouses, legacy mainframes, and internal applications. Outputs feed copilots, dashboards, and workflows; governance features include continuous monitoring, drift alerts, version control, complete lineage and audit trails, human-in-the-loop definition validation, PII detection, and permission harmonization. Stated security practices include zero training on customer data and end-to-end encryption. The original 2022 architecture sat on top of the data warehouse, predicted the required data model, and compiled user-defined metric logic into reporting-ready datasets returned to the warehouse.
Go-to-market
Sales-led and demo-driven: the website's primary calls to action are "Request a Demo" and scheduling a 25-minute live product demo with the company's analytics team, supported by a contact form, newsletter signup, blog, and docs. Solution pages are segmented by function (executive, finance, operations, revenue, technology), with finance emphasized most heavily, and named enterprise logos and anonymized customer testimonials are used as proof points. Analyst recognition (Gartner Cool Vendor) is promoted via press release.
Enterprises with disparate systems, legacy infrastructure, and rigorous compliance requirements, especially finance and FP&A teams, plus executive, operations, revenue, and technology functions. Deployments are cited across financial services, media, and other regulated or complex enterprise environments. Named organizations on the website include Coca Cola, Hearst, MLB Network, Protos Security, Magic Mind, Podia, Business Insider, Cross River Bank, Outdoorsy, Henry Rose, NHL Network, and Leatherback; the 2026 press release names MLB Network, Cross River Bank, and Hearst Corporation.
Geography
The 2022 funding announcement and the 2026 Gartner recognition press release were both issued from New York. A third-party directory lists the headquarters as San Francisco, United States. The company does not state additional office locations in the sources.
History
Preql was founded in 2022 (per a third-party directory) and announced a $7 million seed round in May 2022, led by Bessemer Venture Partners with participation from Felicis and angel investors including Taylor Brown (Fivetran), Keenan Rice (Looker), Tristan Handy (dbt Labs), Eldad Fakash (Firebolt), and Benn Stancil (Mode). At launch the company was described as a no-code data transformation solution operating from New York and using the preql.com domain. By 2026 the company was operating as "Preql AI" on preql.ai, describing itself as an enterprise agentic data platform and an agentic semantic layer purpose-built for enterprise finance teams. In February 2026 it announced recognition as a Cool Vendor in the 2026 Gartner Cool Vendors in AI for Financial Planning & Analysis report.
Risks & controversies
The Gartner Cool Vendor announcement is a paid press release distribution, and Gartner explicitly disclaims endorsement of vendors named in its publications; the company itself frames the recognition rationale with "we believe." Revenue, headcount, founding year, and headquarters figures come from a third-party directory that labels revenue as a modeled estimate. Customer testimonials on the website are anonymized by title and industry rather than attributed. Sources do not disclose funding after the 2022 seed round, so current capitalization and traction are not verifiable from the material available.
Compiled by commissioned research from 8 cited public sources β announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed β not independently audited.
Timeline Β· 2
launches, deals, and filingsPreql AI announced via press release that it was named a Cool Vendor in the Gartner Cool Vendors in AI for Financial Planning & Analysis report (Gartner report dated 28 January 2026), citing its approach to autonomously discovering, cleaning, and semantically unifying fragmented enterprise data.
Preql announced a $7 million seed financing led by Bessemer Venture Partners with participation from Felicis and angel investors from the analytics ecosystem.
$7M source β
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
βΈResearch sources Β· 8
primary sources listed
- Preql AIpreql.ai Β· web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Preql AI do?
- Preql AI builds AI agents that clean, reconcile, and semantically unify fragmented enterprise data for analytics and AI applications.
- Who founded Preql AI?
- Preql AI was founded by Leah Weiss.
- Who are Preql AI's investors?
- Preql AI's investors include Felicis Ventures.

