Sphinx
Sphinx is a New York-based applied AI company building a Jupyter-native knowledge layer that governs AI outputs against organizational data, serving data scientists and analytics teams in CPG, retail, financial services, and digital assets via subscription SaaS.
- Company typePrivate
- Founded2025
- HeadquartersNew York, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Sphinx does
Sphinx is a New York-based applied AI software company building what it positions as a knowledge layer between AI tools and organizational data, targeted primarily at data scientists, analytics teams, and the platform/governance owners that support them. Founded in 2025 by Rohan Kodialam (former AI research leader at Citadel) and Jamie Bloxham (former technology lead at MosaicML), the company's core technology combines proprietary representation learning with multi-agent architectures and configurable engine backends (Thebes/GPT-4.1, Siwa/Claude Haiku 4.5, Cairo/Claude Sonnet 4.5, Memphis default) to give AI agents semantic understanding of data, self-correcting accuracy, and full lineage on every output.
The product is delivered through Jupyter integration, a VSCode extension, a pip-installable CLI, Sphinx Lab (an in-browser IDE with free compute during launch), and a configuration dashboard. Sphinx connects natively to enterprise data infrastructure including Snowflake, Databricks, BigQuery, AWS, and SQL databases, and supports BYO API keys for OpenAI, Anthropic, and Gemini. The company monetizes via recurring subscription SaaS (monthly or annual) with promotional variation allowed, a free individual tier, and custom enterprise contracts. Enterprise sales target CPG, DTC retail, financial services/hedge funds, and digital assets platforms; named customers include Oats Overnight and others.
As of February 2026, Sphinx had raised $9.5M in seed funding led by Lightspeed with Bessemer Venture Partners, Box Group, K5, Impatient VC, and angels including Steve Cohen, Naveen Rao, and leaders from Databricks, Windsurf, and Together AI. The company is SOC 2 Type 1 and Type 2 certified with a zero-day data retention policy, and is a General Member of the Jupyter Foundation and Silver Member of the Linux Foundation.
Sphinx firmographics
Firmographics- Name
- Sphinx
- Legal name
- SphinxML, Inc.
- Website
- https://sphinx.ai
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Sphinx is a New York-based applied AI company building a Jupyter-native knowledge layer that governs AI outputs against organizational data, serving data scientists and analytics teams in CPG, retail, financial services, and digital assets via subscription SaaS.
- Ownership category
- akta.pro rank
Sphinx industry classification
Industry- Product category
- AI Data Science Software
- NAICS
- Professional, Scientific, and Technical Services (541)
- SIC
- Services-Engineering, Accounting, Research, Management (8700)
- akta.pro primary industry
- Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
- akta.pro secondary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
Keywords
Where Sphinx is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Sphinx business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Subscription SaaS (Core Product): Sphinx operates on a subscription-based SaaS model with automatically recurring periodic charges (Subscription Service). The subscription period is selectable (monthly or annual) and auto-renews. Fees are in U.S. Dollars and non-refundable except as required by law. Subscription tiers are available and pricing is managed by SphinxML; promotional offers with different pricing may be made to customers. Enterprise customers receive custom integrations, SOC 2 compliance, and guardrail enforcement across teams.
- Enterprise Custom Integrations: Sphinx offers custom integration services for enterprise customers connecting to databases, warehouses, and data tools (Snowflake, BigQuery, Databricks, AWS, SQL databases). These are part of the enterprise engagement model and support subscription contract expansion.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Subscription plans with automatically recurring charges, billed monthly or annually with auto-renewal. |
| Subscription | Annual | Annual subscription with discounted periodic billing. |
| Freemium | Pay-as-you-go | Free tier via Sphinx Lab (in-browser IDE) for launch period. |
Go-to-market motion2 records
Distribution channels6 records
Marketing channels7 records
Sphinx product offering
Product offeringCore offering
Sphinx is a Jupyter-native AI copilot and knowledge layer for data science that autonomously performs data exploration, cleaning, feature engineering, modeling, hypothesis testing, and insight generation. It sits between an organization's AI tools and its data, continuously validating outputs against business logic and institutional knowledge to enforce accuracy, auditability, and governance. Delivered as a SaaS product through Jupyter, VSCode, a CLI, an in-browser IDE (Sphinx Lab), and an enterprise dashboard with integrations to Snowflake, Databricks, BigQuery, and AWS.
Product overview
Sphinx is an applied AI research company offering a comprehensive data intelligence platform centered on its AI knowledge layer. The flagship Sphinx Copilot product provides autonomous AI agents for data science workflows, available through multiple interfaces: Jupyter integration, VSCode extension, Sphinx CLI (pip-installable), Sphinx Lab (browser-based IDE), and Sphinx Dashboard for configuration management. The platform includes specialized engines (Thebes, Siwa, Cairo, Memphis) powered by various LLMs, the Sphinx AI Library for embedding and language models, and Sphinx Rules for custom policy encoding. The product connects to enterprise data infrastructure including Snowflake, Databricks, Google Cloud, AWS, and supports BYO API keys for OpenAI, Anthropic, and Gemini. Sphinx positions itself as the knowledge layer between AI tools and organizational data, providing anomaly detection, self-correction, and full auditability for AI-generated outputs.
Differentiator
Problem solved
Functional benefit
Products and services
- Sphinx AI Copilot AI copilot for data professionals that uses autocomplete and agentic reasoning to transform raw information into actionable insight. Integrates with Jupyter and VSCode to accelerate data exploration, model building, and hypothesis testing. Targets enterprise data teams in CPG, retail, financial services, and digital assets.
- Sphinx Lab Browser-based IDE built for data science that allows invoking Sphinx agents from anywhere using Sphinx-managed compute. Provides a fully in-browser development environment with compute provided by Sphinx.
- Sphinx CLI Command-line interface exposing Sphinx's inference engine. Installable via pip from PyPI. Supports running against existing notebook servers, ephemeral compute in isolated environments, structured output via --output-schema flag, and interactive mode for experiments, benchmarking, and automated data processing pipelines.
- Sphinx AI Library AI library that simplifies use of language and embedding models as part of data pipelines. Abstracts away brittle APIs to process large-scale unstructured data using multiple smaller models in parallel. Supports BYO API keys for OpenAI, Anthropic, and Gemini APIs.
- Sphinx Dashboard Web-based dashboard for managing Sphinx configurations including database integrations, API keys, Sphinx Rules, and user settings. Enables permanent account-level integrations with Snowflake and Databricks.
- Sphinx Engines (Thebes, Siwa, Cairo, Memphis) Configurable engine system defining sets of models, settings, and tuning for the agent. Includes Thebes (GPT-4.1 backed), Siwa (Claude Haiku 4.5, fastest), Cairo (Claude Sonnet 4.5, most powerful), and Memphis (most capable, new default).
Quantifiable outcome
- Analysis time reduced from days to minutes (two-person team operating like a team of 20)
- +3 more outcomes
Companies that use Sphinx
Customer profileNamed customers5 records
Segments5 records
Ideal customer profiles2 records
Sphinx technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration9 records
AI capability10 records
Feature14 records
Sphinx partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core.
- Jupyter FoundationcoreSphinx AI joined the Jupyter Foundation as a General Member. Sphinx's agents use Jupyter-based environments as workspaces for analysis, experimentation, and problem-solving. The company is committed to contributing to and shaping the future of Jupyter, building on the foundation that has driven data science workflows since 2014. The partnership was announced at JupyterCon.
- Linux FoundationcoreSphinx AI joined the Linux Foundation as a Silver Member, signaling commitment to open source and collaborative development. The Linux Foundation membership supports Sphinx's strategy of building on and contributing to open source infrastructure for data science.
- SnowflakecoreSphinx integrates natively with Snowflake as part of its enterprise data stack connectivity, enabling customers to query and analyze Snowflake data warehouses through the Sphinx copilot.
- Google Cloud (BigQuery)coreSphinx integrates with Google Cloud's BigQuery and storage services, enabling enterprise customers to analyze BigQuery data through the Sphinx AI copilot.
- Amazon Web ServicescoreSphinx integrates with Amazon Web Services for storage and compute capabilities, enabling AWS-based enterprise customers to leverage Sphinx for data analysis on their AWS infrastructure.
- DatabrickscoreSphinx provides native integrations with Databricks for unified analytics and machine learning workflows. The partnership enables Databricks users to access Sphinx's AI copilot directly within their existing Databricks environment.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
Sphinx competitors and assessment
Company assessmentDirect peers
- Cursor (Anysphere): AI-native code editor that serves as a developer copilot for software engineering. Comparable to Sphinx as an AI copilot targeting professional developers with IDE-native workflows; Sphinx explicitly differentiates from Cursor on the data-science specialization and audit/governance layer.
- Hex: Collaborative data workspace and AI-powered notebook platform for data teams. Comparable as a Jupyter-adjacent data science environment adding AI assistance, governance, and shareable analytics — directly overlapping Sphinx's target user (data scientists and analysts).
- Deepnote: Cloud-based Jupyter-compatible notebook platform with AI features and team collaboration. Comparable to Sphinx as a Jupyter-native data science environment expanding into AI-assisted workflows for enterprise data teams.
- Mode Analytics: Analytics and business intelligence platform with SQL/Python notebooks and AI features for data teams. Comparable as an end-to-end analytics platform targeting data scientists and analysts with collaborative notebooks and governed data access.
Broad incumbents
- Snowflake Cortex AI: Snowflake's bundled AI and ML feature set within its data cloud, including LLM functions and AI agents. Comparable as a competing data+AI platform that ships similar capabilities to enterprise customers at zero marginal cost via existing Snowflake contracts.
- Databricks Assistant / Databricks AI: Databricks' native AI assistant and agent capabilities embedded in its lakehouse platform. Comparable as a data platform incumbent that bundles AI-assisted notebook, governance, and lineage features that overlap directly with Sphinx's value proposition.
- Google Gemini Data Science Agent: Google's data-science-specialized AI agent built into Gemini. Directly comparable as a benchmark competitor — Sphinx measured its DABStep performance against the Gemini Data Science Agent as one of the head-to-head comparators.
- GitHub Copilot: Microsoft-owned AI coding and data assistant integrated across IDEs including VSCode, where Sphinx also ships an extension. Comparable as an incumbent general-purpose AI coding/data assistant; Sphinx explicitly positions against Copilot on data-science specialization and auditability.
- Anthropic Claude Code: Anthropic's agentic coding tool built on Claude. Comparable as a frontier-model-powered AI agent that data scientists may use as an alternative; Sphinx differentiates by adding data-layer validation that general-purpose agents lack.
Emerging players
- Windsurf: AI-powered IDE and coding agent from Codeium. Comparable as a venture-backed AI coding copilot; notable as a peer because Windsurf leaders invested in Sphinx and the two compete for similar AI-assisted developer mindshare.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Sphinx social profiles
Digital presenceSphinx compliance and trust
Trust signalCompliance2 records
Sphinx financial estimates
Financial estimateRevenue estimate
Valuation estimate
Sphinx leadership team
Management profileNumber of profiles
Profiles2 records
Sphinx funding detail
Funding detailFunding overview
Funding rounds1 record
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Sphinx M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Sphinx
What does Sphinx do?
Sphinx is a Jupyter-native AI copilot and knowledge layer for data science that autonomously performs data exploration, cleaning, feature engineering, modeling, hypothesis testing, and insight generation. It sits between an organization's AI tools and its data, continuously validating outputs against business logic and institutional knowledge to enforce accuracy, auditability, and governance. Delivered as a SaaS product through Jupyter, VSCode, a CLI, an in-browser IDE (Sphinx Lab), and an enterprise dashboard with integrations to Snowflake, Databricks, BigQuery, and AWS.
Is Sphinx a public or private company?
Sphinx is a private company. It is classified as venture growth investor backed and is currently operating.
When was Sphinx founded?
Sphinx was founded in 2025. It employs 11 to 50 people.
Where is Sphinx based?
Sphinx is headquartered in New York, United States, in the North America region.
How does Sphinx make money?
Two revenue lines are on record. Subscription SaaS (Core Product) is the primary driver. The others are enterprise Custom Integrations.
Who are Sphinx's main competitors?
Direct peers on record are Cursor (Anysphere), Hex, Deepnote and Mode Analytics. Broad incumbents are Snowflake Cortex AI, Databricks Assistant / Databricks AI, Google Gemini Data Science Agent, GitHub Copilot and Anthropic Claude Code. Windsurf is listed as an emerging player.
Does Sphinx have an API?
Yes. Sphinx exposes its inference engine as a CLI tool installable via pip from PyPI (sphinx-ai-cli). The CLI supports structured output via the --output-schema flag for JSON output satisfying a given schema. Users can run Sphinx against existing notebook servers (local or cloud) or use ephemeral local compute in isolated environments. API keys can be created and managed from the Sphinx Dashboard for authentication in non-interactive settings. The AI Library feature enables leveraging LLMs as batch processors for natural language processing, with support for BYO API keys using OpenAI, Anthropic, and Gemini API patterns. Developer documentation is at pypi.org/project/sphinx-ai-cli.
What industry is Sphinx in?
Sphinx's product category is AI Data Science Software. Its primary akta.pro industry code is HDAEANAB, Model Development & Training Platforms (AutoML, Notebooks, Feature Stores), with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 541 and its SIC code is 8700.