PromptQL Competitive Intelligence & Landscape

PromptQL (hasura.io) is a technology company specializing in data access solutions, particularly for the age of AI. Founded by the team behind the Hasura GraphQL Engine (HGE) and the Hasura Data Delivery Network (DDN), PromptQL extends its expertise in making data effortless to access and use. The company's mission is to deliver reasoning AI that learns from enterprise data, signals its confidence, and earns trust through accuracy, addressing the critical need for reliable AI in business-critical applications [https://hasura.io/careers/]. They aim to be the de facto data access layer for AI, moving beyond simple data retrieval to a platform that deeply understands enterprise data [https://hasura.io/about].

PromptQL's core product is a sophisticated AI data agent designed for building agents and workflows on business-critical data, where accuracy and repeatability are paramount [https://hasura.io/resources/promptql-100-percent-accurate-ai-agent-on-your-data]. This PromptQL agent creates and runs query plans, outperforming traditional tool calling and Retrieval Augmented Generation (RAG) techniques by 2-5x in accuracy [https://hasura.io/resources/promptql-100-percent-accurate-ai-agent-on-your-data]. It provides capabilities for continuous learning of unique business context, fine-grained security, and agentic query planning to ensure accurate AI outcomes [https://hasura.io/]. The company also offers an AI Catalyst Team to help businesses assess fit and partner with them to deliver real AI transformations [https://hasura.io/].

The target market for PromptQL includes enterprises and developers who require highly accurate and reliable AI solutions grounded in their proprietary data. The platform facilitates multiplayer AI by enabling teams to collaborate, pulling context from wikis, and coordinating across people and connectors to get complex jobs done where no single person has the full picture [https://hasura.io/promptql].

PromptQL helps address the challenge of AI being "confidently wrong" by focusing on precision and trust in mission-critical applications [https://hasura.io/promptql?cta=header-promptql&pg=home&plcmt=header&tech=default]. As of 2026, Hasura, Inc., the creator of PromptQL, maintains its products like the Hasura GraphQL Engine and Hasura Data Delivery Network, with PromptQL positioned as the spiritual successor to GraphQL for the AI era [https://hasura.io/blog/from-graphql-to-promptql-a-new-chapter-begins]. The company's legal name is Hasura, Inc., and it is located at 1255 Batter [https://hasura.io/promptql].

PromptQL by Hasura (hasura.io) offers a range of product and pricing intelligence designed to cater to diverse user needs, from individual developers to large enterprises. The company provides both Hasura Cloud and self-hosted options.

Hasura Cloud is a fully-managed version of Hasura's GraphQL Engine, delivering a scalable, highly-available, and secure GraphQL API, available on AWS and Google Cloud [hasura.io/docs/2.0/hasura-cloud/overview/]. The pricing structure has seen significant updates to better align with customer value and provide more flexibility and cost predictability, a major change since the company's founding [hasura.io/blog/updates-to-hasura-pricing-and-plans].

Hasura Cloud offers three distinct plans: Cloud Free, Cloud Professional, and Cloud Enterprise [hasura.io/docs/2.0/hasura-cloud/plans/]. The Cloud Free plan allows users to get started without upfront costs. For paid plans, the Cloud Professional Plan operates on a pay-as-you-go monthly in arrears model, while the Cloud Enterprise Plan requires an annual commitment with upfront payment for usage [hasura.io/docs/2.0/hasura-cloud/plans/]. Billing for Hasura Cloud is consumption-based, and users can switch between these plans based on their evolving requirements [hasura.io/docs/2.0/hasura-cloud/projects/pricing/]. The PromptQL billing terms detail how a "PromptQL User" is defined for billing purposes, especially when accessing the PromptQL Playground via an authenticated Hasura DDN user [hasura.io/promptql-billing-terms-1].

Beyond Hasura Cloud, Hasura also offers self-hosted options, including the Hasura Enterprise Edition. This edition provides advanced features for observability, security, and performance, suitable for running Hasura in production on a user's own infrastructure [hasura.io/docs/2.0/enterprise/overview/]. A recent and significant development is the launch of the beta version of Hasura Data Delivery Network (DDN), which introduces a disruptive active model-based pricing structure. This new model aims to align costs with the value received from the API platform, moving away from traditional usage-based pricing [hasura.io/blog/for-the-models-that-matter-hasura-ddn-model-based-pricing/].

PromptQL (hasura.io) is currently focused on expanding its team, particularly in areas supporting its core mission of delivering reliable AI. The company, which is the creator of PromptQL, Data Delivery Network, and GraphQL Engine, is actively seeking to build the future of trusted AI that learns from enterprise data [https://hasura.io/careers/]. This strategic hiring reflects their shift from being "FIRST FOR DIGITAL. NOW FOR AI." [https://hasura.io/] and emphasizes their commitment to addressing the reliability gap in generative AI for business-critical workflows [https://hasura.io/promptql?cta=header-promptql&pg=home&plcmt=header&tech=default].

Recent job postings, such as for a Forward Deployed Engineer [https://hasura.io/careers/], highlight their need for talent capable of pushing the boundaries of enterprise AI and unlocking significant outcomes for clients. While there's no public information suggesting recent layoffs, the strong emphasis on new hires for PromptQL and their AI Catalyst Team indicates a period of growth and strategic investment in AI-centric roles [https://hasura.io/]. This growth is directly tied to their aim of providing "Accurate AI by continuously learning the unique context of your business" [https://hasura.io/].

The hiring patterns at PromptQL (hasura.io) signal a clear strategic pivot towards AI-first solutions. The company sees PromptQL as the "spiritual successor to GraphQL for the age of AI" [https://hasura.io/blog/from-graphql-to-promptql-a-new-chapter-begins], aiming to bring precision and predictability to AI applications that require deterministic results [https://hasura.io/promptql?cta=header-promptql&pg=home&plcmt=header&tech=default]. Their focus on roles that support AI reliability and enterprise integration underscores their ambition to unlock the full potential of AI on data, promising trusted results with higher accuracy for business operations [https://hasura.io/book-demo/promptql].

PromptQL (hasura.io) has demonstrated significant financial growth through multiple funding rounds, positioning itself as a key player in data access and AI solutions. The company successfully secured a Series B funding of $25 million, led by Lightspeed, with continued participation from existing investors Vertex, Nexus, SAP.io, and Strive [https://hasura.io/blog/announcing-our-series-b-25m-financing]. This round also saw Gaurav Gupta, an executive and VC with experience in infrastructure and open-source companies, join their board.

Building on this momentum, PromptQL (hasura.io) announced a substantial Series C funding round, raising $100 million [https://hasura.io/blog/seriesc-100m-graphql-for-everyone]. This round was led by Greenoaks, with Lightspeed's growth arm joining, alongside existing investors Nexus, Vertex, and Strive [https://hasura.io/blog/@promptql]. These investments underscore strong investor confidence in PromptQL's vision and its evolution from GraphQL to an AI-native future for data.

While specific revenue figures are not publicly disclosed, the significant capital raised through these funding rounds suggests robust financial health and strong market potential for PromptQL. The company's focus has expanded from its battle-tested Hasura GraphQL Engine and Data Delivery Network to PromptQL, an AI data agent designed for accuracy and reliability on enterprise data [https://hasura.io/].

PromptQL offers detailed pricing and billing documentation, indicating a structured approach to monetization through user access to its Playground and API [https://hasura.io/promptql-billing-terms-1]. This strategic shift into AI, highlighted by the introduction of PromptQL as a spiritual successor to GraphQL for the AI age, aims to address the growing demand for accurate and reliable AI solutions grounded in business-critical data [https://hasura.io/blog/from-graphql-to-promptql-a-new-chapter-begins].

PromptQL by Hasura is a prominent participant in various industry events, showcasing its innovative Data Delivery Network and GraphQL Engine. In 2025, Hasura is set to make a significant impact at several major conferences. They will be at IMAGINE AI ‘25 in Las Vegas from May 28-30, offering live demos of PromptQL and highlighting how it outperforms alternative methods like RAG, tool-calling, and Text-to-SQL for connecting AI to business data with 100% accuracy. Similarly, they will be present at the AI Engineer World’s Fair in San Francisco from June 3-5, demonstrating PromptQL as the first general data agent for deploying highly reliable AI systems on enterprise data. Further bolstering their presence, Hasura is a proud sponsor of [Human[X] 2025](https://hasura.io/events/humanx) in Las Vegas from March 10-12 and the AI Engineer Summit 2025 in New York from February 19-21, both exclusive events for AI leaders and innovators, where they will offer live demos and virtual demo options. Meanwhile, their participation at QCon San Francisco from November 18-20 will feature a sneak peek at their new offerings and demonstrate how Hasura assists in building intelligent next-gen AI applications with real-time data.

PromptQL by Hasura also hosts and participates in its own events designed to engage the community and showcase its technological advancements. One such event is AI DISRUPT held at LUMA Hotel, San Francisco, positioned as a reliable AI conference for leaders seeking to innovate with AI. The conference includes breakfast and a keynote session, with Tanmai Gopal and Ghosh exploring an AI copilot or agent that can be trusted, drawing on breakthroughs from the Hasura AI Lab and sharing best practices for quantifying AI reliability. This highlights Hasura's commitment to fostering trust in AI through real data and practical solutions.

Beyond large-scale conferences, PromptQL by Hasura actively engages its audience through webinars and community calls. The concluded webinar titled “Beyond RAG: Building Enterprise AI Assistants That Users Actually Trust” provided an introduction and technical deep dive into PromptQL, addressing the critical challenge organizations face in deploying and sustaining AI assistants for enterprise data operations. Additionally, Hasura conducts a monthly masterclass series called “Reliability Calls,” where they explore what it takes to build and scale reliable AI that can handle edge cases, earn trust in production, and become mission-critical. These events demonstrate Hasura’s dedication to educating and empowering the AI community.

Hasura further cultivates its community through engaging online discussions. Recent community calls, under the theme “From GraphQL to PromptQL: A New Chapter Begins,” have tackled crucial topics in AI development. The “Community Call: Can you make AI 100% deterministic?” explored whether pre-defined AI agents are truly the answer and the challenges of building accurate task-specific agents on the fly, emphasizing that no matter how many agents are built, 100% accuracy for all user queries remains elusive. Another insightful session, “Community Call: Making your AI think before doing,” delved into query plans for accurate and steerable AI on data, discussing how traditional methods like Retrieval Augmented Generation (RAG) and tool calling can actually reduce an AI's intelligence by using pre-defined workflows for all user queries. These community calls provide valuable insights and foster a deeper understanding of advanced AI concepts.