Sphinx
New York City, US · 10 known investors
Sphinx is an AI data governance platform that sits between a company's AI tools and its data stack to validate AI queries, correct errors, and enforce consistent metric definitions with full output lineage. It targets enterprise data and analytics teams, data owners, and leadership who need traceable, auditable, and reliable AI-generated data outputs.
Also known as Sphinx AI
Founders & leadership

Investors · 10
Also in the syndicate · 5
Funding
SEC filings, press & company announcements$14.1M disclosed across 2 of 3 rounds · 2025–2026
- $7MSeed RoundFeb 2026 · 2 sourcesSource ↗
- $7.1MraisedFeb 2026 · 3 sourcesSource ↗
- Undisclosed amountSeedSep 2025 · 2 sources
Lightspeed Venture Partners (lead), Bessemer Venture Partners, Box Group, Impatient VC, K5, Naveen Rao, Steve Cohen
Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Company profile
researched Aug 2026Sphinx (sphinx.ai) develops AI products that interface with structured and semi-structured business data. Its platform functions as a governance and reliability layer that sits between a customer's AI tools and its underlying data stack: it connects to existing databases, warehouses and data tools, builds a shared knowledge base from schemas, metrics, business logic and institutional knowledge, and validates AI-generated queries before outputs are released. The system is designed to catch drift, inconsistencies and hallucinations, correct them on a continuing basis, and trace every output back to its source data, logic and reasoning. It also provides access controls, audit logs and configurable human approval steps.
The company also ships a copilot product for data professionals. Announced as generally available in September 2025, Sphinx Copilot combines autocomplete with agentic reasoning and is integrated into environments where data teams already work, including Jupyter notebooks and VSCode. The company positions the copilot as purpose-built for data work rather than code generation, emphasizing accurate representations of data, verification of models, and grounding of responses in quantitative evidence. Stated application areas span forecasting, operations optimization, supply chain analysis and sports analytics.
Sphinx describes itself as an applied AI research firm whose work centers on representation learning and reinforcement learning applied to the interpretation of tabular and semi-structured information, balancing data exploration against extraction of commercially relevant insight.
Founding story
Sphinx was founded by Rohan Kodialam, an AI research leader at Citadel, and Jamie Bloxham, an early technology lead at MosaicML. While leading AI research and data science teams, they encountered the problem that frontier models were isolated from the data-science tooling and structured datasets used to inform commercial decisions, and started the company to close that gap.
Business model
Sphinx sells software to enterprises: a copilot product for data practitioners and a governance/reliability layer that connects to a customer's existing data stack. The website markets through booked demos rather than self-serve signup.
Traction
The copilot became available at launch in September 2025. Oats Overnight CEO Brian Tate stated that Sphinx helped its data scientists uncover shopper-behavior patterns in minutes rather than hours or days and that the company intends to deepen the partnership. Additional unnamed customer testimonials on the website come from a consumer packaged goods firm, a DTC retail brand and a hedge fund.
Latest developments
In September 2025 Sphinx launched publicly with a $9.5 million Seed round and released its copilot product, stating that proceeds would fund continued development of agentic AI that natively interacts with data and data science workflows. The company subsequently positioned the product as a continuous governance and correction layer for data and AI outputs across a customer's AI tools.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Sphinx positions itself in the gap between frontier AI models and enterprise data-science tooling, arguing that data science has been underserved relative to software development by AI copilots. Its investor cited the company as redefining how AI reasons with data. The company references a $100 billion market for data insights and more than 93 million Jupyter users worldwide.
The company contrasts its approach with general-purpose copilots: rather than generating code or conclusions quickly, Sphinx emphasizes building accurate representations of data, rigorous model verification, and grounding answers in quantitative evidence, alongside validation, self-correction and full output traceability for AI answers.
Technology
Sphinx builds on research in reasoning models, with a stated focus on representation learning and reinforcement learning for interpreting tabular and semi-structured data. The product constructs a self-building, self-learning knowledge base of business logic and metric definitions, validates AI queries against it, self-corrects detected errors, and maintains end-to-end lineage from outputs back to source data. Governance features include access control, audit logging and configurable human approval. The copilot is embedded in Jupyter and VSCode.
Go-to-market
Direct enterprise sales via demo requests on the company website, combined with distribution into existing data-science tooling (Jupyter, VSCode) to reach practitioners in their current workflows. Public launch was accompanied by a funding announcement and named customer reference.
Enterprise data teams, data scientists, data platform owners and decision-makers who need AI-generated results to be accurate, consistent and defensible. The company cites partners across consumer packaged goods, retail and financial services; referenced users include a CPG chief data officer, a DTC retail CEO and a hedge fund quantitative researcher.
Geography
Headquartered in New York, with customers cited across consumer packaged goods, retail and financial services.
History
The company emerged publicly on 9 September 2025, announcing a $9.5 million Seed round led by Lightspeed and simultaneously making its copilot for data professionals generally available. Rohan Kodialam serves as co-founder and CEO.
Compiled by commissioned research from 8 cited public sources — 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 — not independently audited.
Timeline · 2
launches, deals, and filingsSphinx publicly launched with a $9.5 million Seed round led by Lightspeed, with participation from Bessemer Venture Partners, Box Group, K5, Impatient VC and others, plus angel backing from Steve Cohen, Naveen Rao and leaders from Databricks, Windsurf and Together AI. Funding is earmarked for building agentic AI that interacts natively with data and data science workflows.
$9.5M source ↗
Sphinx released an AI copilot for data scientists offering autocomplete and agentic reasoning, integrated into Jupyter notebooks and VSCode.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
▸Research sources · 8
primary sources listed
- Sphinxsphinx.ai · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Sphinx do?
- Sphinx is an applied AI research company building a governance and reliability layer between enterprise AI tools and data stacks.
- Who founded Sphinx?
- Sphinx was founded by Jamie B, Rohan Kodialam.
- Who are Sphinx's investors?
- Sphinx's investors include Impatient Ventures, Point72 Ventures, Cherry Ventures, Rebel Fund, Y Combinator.
- How much funding has Sphinx raised?
- Sphinx has disclosed $14.1M raised across 2 of its 3 known rounds.
- Where is Sphinx headquartered?
- Sphinx is headquartered in New York City, US.
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