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Sphinx

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uuid00003xa

Namestring
Sphinx
Legal namestring
SphinxML, Inc.
Websiteurl
sphinx.ai
Company typeenum
Private
Founded yearint
2025
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersNew York, United States
HQ citystring
New York
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI data science copilot, data analytics platform, machine learning tooling, enterprise AI agents, data governance software
Industry2 codes
1HDAEANAB
CodeHDAEANABPrimaryYes
2HDAEANAH
CodeHDAEANAHPrimaryNo
NAICS code1 code
  • 541
SIC code1 code
  • 8700
Product category
AI Data Science Software
Social media profiles2 records
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model2 records
1Subscription SaaS (Core Product)
TypeSubscription Recurring
Description

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.

sphinx.ai
2Enterprise Custom Integrations
TypeManaged Services
Description

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.

sphinx.ai
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels6 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Pricing details3 tiers
1Subscription plans with automatically recurring charges, billed monthly or annually with auto-renewal.
ModelSubscriptionBilling cadenceMonthly
Notes

Specific price points not publicly disclosed. Subscription period is selectable (Initial Subscription Period). Auto-renews for successive periods of the same duration. Cancellation must be received before renewal date.

sphinx.ai
2Annual subscription with discounted periodic billing.
ModelSubscriptionBilling cadenceAnnual
Notes

Annual billing cadence available. SphinxML may make promotional offers with different pricing features to different customers.

sphinx.ai
3Free tier via Sphinx Lab (in-browser IDE) for launch period.
ModelFreemiumBilling cadencePay-as-you-go
Notes

Sphinx Lab compute is free for the launch period. Sphinx also available free for hackathon participants (e.g., Hacklytics '26).

sphinx.ai
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • Analysis time reduced from days to minutes (two-person team operating like a team of 20)
+3 more records
Product overview1 text field

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.

Product and service6 records
1Sphinx AI Copilot
CategoryCore product
Description

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.

2Sphinx Lab
CategorySub-product
Description

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.

3Sphinx CLI
CategorySub-product
Description

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.

4Sphinx AI Library
CategorySub-product
Description

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.

5Sphinx Dashboard
CategorySub-product
Description

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.

6Sphinx Engines (Thebes, Siwa, Cairo, Memphis)
CategorySub-product
Description

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).

Scale indicator5 records

Each record includes

Type, Value, Description, Source

Partnership6 partners
1Jupyter Foundation
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-12-01
Description

Sphinx 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.

sphinx.ai
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-12-01
Description

Sphinx 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.

Strategic tierCoreTypeTechnology or Integration
Description

Sphinx 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.

Strategic tierCoreTypeTechnology or Integration
Description

Sphinx integrates with Google Cloud's BigQuery and storage services, enabling enterprise customers to analyze BigQuery data through the Sphinx AI copilot.

Strategic tierCoreTypeTechnology or Integration
Description

Sphinx 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.

Strategic tierCoreTypeTechnology or Integration
Description

Sphinx 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.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

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.

2Hex
TypeDirect peer
Description

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).

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeEmerging player
Description

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.

TypeDirect peer
Description

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.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration9 records

Each record includes

Title, Type, Description, Source

AI capability10 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature14 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance2 records

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors6 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Sphinx

AI Data Science Softwaresphinx.ai

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.

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
1–10 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

Where Sphinx is headquartered

Location

Headquarters

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

  1. 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.
  2. 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

ModelBillingPrice
SubscriptionMonthlySubscription plans with automatically recurring charges, billed monthly or annually with auto-renewal.
SubscriptionAnnualAnnual subscription with discounted periodic billing.
FreemiumPay-as-you-goFree 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 offering

Core 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 profile

Named customers5 records

Segments5 records

Ideal customer profiles2 records

Sphinx technology and API

Technology

Technology 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 signal

Partnerships

Six partnerships are on record, tiered core.

  • Jupyter FoundationcoreStrategic or Co-development Partner · 1 December 2025Sphinx 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 FoundationcoreStrategic or Co-development Partner · 1 December 2025Sphinx 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.
  • SnowflakecoreTechnology or IntegrationSphinx 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)coreTechnology or IntegrationSphinx integrates with Google Cloud's BigQuery and storage services, enabling enterprise customers to analyze BigQuery data through the Sphinx AI copilot.
  • Amazon Web ServicescoreTechnology or IntegrationSphinx 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.
  • DatabrickscoreTechnology or IntegrationSphinx 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 assessment

Direct 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 presence

Sphinx compliance and trust

Trust signal

Compliance2 records

Sphinx financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Sphinx leadership team

Management profile

Number of profiles

Profiles2 records

Sphinx funding detail

Funding detail

Funding 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 investment

M&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 1 to 10 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.

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