Ridges AI

Extracted Attributes

• Former Name

  Agentao

• Architecture

  Model-agnostic thick agent layer

• Primary Field

  Decentralized AI and Autonomous Software Engineering

• Technology Stack

  Python, PostgreSQL, Docker

• Investment Amount

  $300,000 USD

• Key Representative

  Shakeel ('Shak')

• Bittensor Subnet ID

  62

Timeline

• Ridges AI representative Shakeel appeared on the Revenue Search podcast to discuss the project's mission to revolutionize software development and its $300,000 investment from DSV. (Source: Web Search Result: Ridges AI - Subnet Alpha)

  2025-08-15

• The project rebranded from Agentao to Ridges AI and established itself as Subnet 62 on the Bittensor network. (Source: Web Search Result: Ridges AI - Organizations | IQ.wiki)

  2025-01-01

OpenAI

OpenAI is an American artificial intelligence (AI) research organization consisting of a for-profit public benefit corporation (PBC) and a nonprofit foundation, headquartered in San Francisco. OpenAI developed the GPT family of large language models, the DALL-E series of text-to-image models, and the Sora series of text-to-video models, which have influenced industry research and commercial applications. Its release of ChatGPT in November 2022 has been credited with catalyzing widespread interest in generative AI. OpenAI was founded in 2015 in Delaware as a nonprofit. A for-profit subsidiary of the nonprofit was created in 2019, and a 2025 restructuring converted the subsidiary into a PBC that is 26% owned by the nonprofit. Microsoft previously invested over $13 billion into OpenAI, and provides Azure cloud computing resources. In October 2025, OpenAI conducted a $6.6 billion share sale that valued the company at $500 billion. In 2023 and 2024, OpenAI faced multiple lawsuits for alleged copyright infringement against authors and media companies whose work was used to train some of OpenAI's products. In November 2023, OpenAI's board removed Sam Altman as CEO, citing a lack of confidence in him, but reinstated him five days later following a reconstruction of the board. Throughout 2024, roughly half of then-employed AI safety researchers left OpenAI, citing the company's deprioritization of safety goals.

Web Search Results

• Ridges AI - Subnet Alpha

  What exactly does it do? Ridges AI’s (previously known as Agentao) mission is to create a decentralized, self-sustaining marketplace of autonomous software engineering agents, designed to solve real-world software challenges. By leveraging Bittensor, they incentivize SWE agents to tackle increasingly complex and general tasks, pushing the boundaries of AI-driven software development. In recent years, the rapid advancement of language models has transformed the AI landscape. With the rise of autonomous software engineering companies like Devin, more people recognize that the most impactful way to direct this progress is by using these models to write even more code. The logic is simple—better coding models lead to even more advanced AI, accelerating the path to AGI. [...] Recorded in August 2025, this episode of Revenue Search features Shakeel (“Shak”) from Ridges, an AI software agent company aiming to revolutionize software development by replacing or drastically enhancing human coders. The discussion covers Ridges’ open-source, model-agnostic approach, which builds on top of any large language model to create end-to-end coding solutions, making it far cheaper and more adaptable than competitors like Claude Code. Shak outlines the massive $400B engineering market, Ridges’ rapid progress toward matching top competitors’ performance, and their go-to-market plans targeting both individual developers and enterprises. The conversation also reveals DSV’s recent $300K investment in Ridges, the company’s revenue potential, and strategies for reinvesting profits [...] Skip to content Subnet Directory With the amount of new subnets being added it can be hard to get up to date information across all subnets, so data may be slightly out of date from time to time # Subnet 62 # Ridges AI Alpha Price Market Cap Value Value Registration Cost Value TAO Liquidity Value Alpha in Pool Value Total Alpha Supply Value % Alpha Staked Value #### ABOUT ## What exactly does it do? Ridges AI’s (previously known as Agentao) mission is to create a decentralized, self-sustaining marketplace of autonomous software engineering agents, designed to solve real-world software challenges. By leveraging Bittensor, they incentivize SWE agents to tackle increasingly complex and general tasks, pushing the boundaries of AI-driven software development.

• Ridges AI - Organizations | IQ.wiki

  ### Wiki Details ### Profile Summary # Ridges AI Ridges AI is a decentralized artificial intelligence project that operates as Subnet 62 on the Bittensor network. The project, formerly known as Agentao, is focused on creating a marketplace of autonomous software engineering agents designed to perform end-to-end software development tasks. (#cite-id-X5QtGFM29p) (#cite-id-vXRoDQnDKn) ## Overview [...] ## Overview Ridges AI aims to build a decentralized network where AI agents can autonomously solve complex software engineering problems. The project's core thesis is that the multifaceted role of a human software engineer can be deconstructed into a series of smaller, discrete tasks. By training specialized AI agents to master each of these individual tasks, such as fixing code regressions, writing unit tests, or resolving GitHub issues, the platform can aggregate their outputs to deliver comprehensive, end-to-end solutions. This approach is intended to challenge the dominance of large, centralized AI corporations by creating a self-sustaining, incentivized ecosystem for AI-driven software development. (#cite-id-8KXjKSYRoG) (#cite-id-X5QtGFM29p) [...] ## Technology Ridges AI is built on the Bittensor network and its codebase is primarily written in Python, with PostgreSQL used for its database and Docker for containerization. The architecture is designed to be model-agnostic, allowing it to function as a "thick agent layer" that can integrate and orchestrate various large language models to create complete coding solutions. The system is also designed for composability with other Bittensor subnets, such as Chutes and Targon, to enhance functionality and reduce operational costs. (#cite-id-IdFTUhzPAW) (#cite-id-X5QtGFM29p) ### Architecture and Mechanism The Ridges AI ecosystem operates on a competitive, decentralized model involving two primary roles: validators and miners.

• Ridge AI Emerges from Stealth with $2.6M Pre-Seed for AI-Native Analytics That Prove a Product Team's Value in Hours

  Ridge AI Emerges from Stealth with $2.6M Pre-Seed for AI-Native Analytics That Prove a Product Team's Value in Hours · Business Wire Business Wire April 6, 2026 4 min read SEATTLE, April 06, 2026--(BUSINESS WIRE)--Ridge AI today announced its emergence from stealth and a $2.6 million pre-seed funding round led by Madrona, with participation from TheFounderVC and a group of angels that includes founding leaders from Tableau, Trifacta, and Streamlit. Built on decades of data visualization research and open-source technology, the company enables B2B software companies to ship interactive, customer-facing dashboards and AI data agents in hours — not months. [...] Ridge AI is now accepting applications for beta access. A limited number of teams are being onboarded each week. Companies can apply at ridgedata.ai. About Ridge AI Ridge AI builds AI-native embedded analytics for B2B software companies. Its platform combines browser-native dashboards built on the Mosaic open-source framework with AI data agents that let end users ask questions in natural language — deployable in hours, not months. Learn more at ridgedata.ai. View source version on businesswire.com: Contacts press@ridgedata.ai Terms and Privacy Policy Privacy Dashboard More Info ## Recommended Stories Copyright © 2026 Yahoo. All rights reserved. Trending Topics Dow Jones S&P 500 DAX Index Nvidia Tesla DJT Tariffs Explore Further [...] That architecture is what makes Ridge categorically different from legacy embedded analytics tools. By processing data natively in the browser rather than on a server, Ridge delivers sub-second interactivity on datasets with millions of rows — without requiring cloud infrastructure that the software company has to pay for with every query. When a customer opens a Ridge-powered dashboard embedded in their SaaS product, they can ask follow-up questions in natural language and get immediate answers from Ridge's AI data agent. What previously required months of engineering time to build, embed, maintain, and update can now go live in hours. Story Continues

• Ridge AI - Embedded, AI-evolved dashboards and data agents for the web.

  # Ridge AI Embedded, AI-evolved dashboards and data agents for the web. Data Infrastructure and Analytics • Seattle, WA • 241 followers • 2-10 employees ## Overview Ridge uses AI and a browser-based architecture to create a better data experience on the web. Our customers are Saas companies who spend tremendous amounts of time building reporting for their own customers. Using LLMs, our deep domain experience, and building on the Mosaic open-source project, we auto-create dashboards and data agents (together, Ridges). Those Ridges can be deployed to a Saas company's end-customers, providing a much richer experience, solving the long tail of reporting needs, and ultimately unblocking revenue. ### Website ### Crunchbase N/A ### LinkedIn ### Industry Data Infrastructure and Analytics [...] 13, Comments: 0]; Ridge AI (4mo): Few people have shaped modern data visualization more than Jeff Heer. In this blog post he describes how Ridge AI is approaching one the hardest problems in analytics: making data on the web truly fast and interactive at scale. [Likes: 11, Comments: 0]; Ridge AI (6mo Edited): Updates to the Ridge Data Agent-- visual, interactive results! Great stuff from Jeffrey Heer . [Likes: 20, Comments: 0]; Ridge AI (6mo): Dashboards are essential. And insufficient. At Ridge, we're combining fast, visual data with an AI-powered data agent to solve analytics’ most persistent problems: • Staying in the flow: Instead of translating thoughts into SQL or tool-specific clicks, just ask your question in plain language. • The long-tail problem: When every question leads to [...] ### Industry Data Infrastructure and Analytics ### Company Size 2-10 employees 5 associated members (LinkedIn members who've listed Ridge AI as their current workplace on their profile) ### Founded 2025 ### Funding Last Round Date: N/A Last Round Type: N/A Total Rounds: N/A Last Round Raised: N/A ### Investors N/A ### Specialties N/A ## Locations Seattle, WA 98040, US ### Get Directions Directions ## Employees Ellie Fields (N/A): Fritz Lekschas (N/A): Jeffrey Heer (N/A):

• Ridge AI: AI-evolved dashboards and data agents for SaaS companies.

  ## Tackle the long tail of questions. Every dashboard includes a Data Agent to answer questions. Skip the months spent on custom dashboards and endless reporting requests. ## Deploy brilliantly. Embed and watch it fly. Our browser-based tech stack makes data fast & interactive, so your product looks great. Good luck vibe coding that! # Still building dashboards for your customers? Let us do that. ## Deploy in hours. No need to hire a whole team. Focus on what you're best at: your product. ## Delight your customers. Give your customers embedded analytics that your customers love. ## Stay secure. Ridge AI is SOC 2 Type 1 certified. SOC 2 Type 2 audit is in progress. ## CLOSED BETA FOR TEAMS THAT NEED EMBEDDED ANALYTICS Now ## Sign up for the Beta Thanks! [...] Join the Beta Thanks! We`ll be in touch! Oops! Something went wrong while submitting the form. .avif) # Prove your product's value with embedded analytics. Ridge delivers AI-enabled analytics and data agents. So product teams can build fast, deliver value, and win the customer. Join the BetaHow it works Chris Stolte Chris Stolte Founder, Tableau Software "This is what I would have wanted to see built for data in the age of AI." Adrien G. Treuille Adrien G. Treuille Founder, Streamlit "Ridge is solving a deep problem I've seen up close: quickly getting beautiful, interactive analytics in front of your customers." Thomas Eliott Thomas Eliott Chief Product Officer, Intangia [...] ## Sign up for the Beta Thanks! We`ll be in touch! Oops! Something went wrong while submitting the form. We're inviting cohorts weekly. You'll get an email when you're in!