AI agents often fall short: long dev cycles, inconsistent outputs, and users lose trust from just a few bad answers. Join us LIVE on Jan 9th and see how you can use PromptQL to solve these problems. Register now ➡️ https://bit.ly/40gcd8Z
Hasura
Software Development
San Francisco, CA 18,987 followers
Hasura is a universal data access layer for next-gen apps and AI
About us
Hasura is a universal data access layer for next-gen apps and AI With Hasura, you can effortlessly deploy a universal data service layer that lets your apps fetch just the data they need – quickly and securely – no matter its type or location. We are a venture backed company with offices in Bangalore and San Francisco. Our investors include Nexus Venture Partners and GREE.
- Website
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http://hasura.io
External link for Hasura
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Founded
- 2017
- Specialties
- microservices, development platform, software development, enterprise software, cloud native, Backend as a Service, Platform as a Service, APIs, backend development, GraphQL, and data access
Products
Hasura Cloud
API Management Software
Instant GraphQL & REST APIs on all your new and existing data to power modern apps and APIs. Fully Managed. Easiest way to get started. Scales as you grow.
Locations
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Primary
San Francisco, CA, US
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Bengaluru, Karnataka, IN
Employees at Hasura
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Suku Krishnaraj Chettiar
President || GTM & Product Exec || Investor & Board member || Hasura, Sumo Logic, SolarWinds, CenturyLink, Mercury, HP
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Gaurav Gupta
VC at Lightspeed, former Product exec at Splunk & Elastic
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Sandeep Bhadra
seed/Series A investor in enterprise/infrastructure software companies
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Jonathan Weiss
Updates
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Imagine a world where your data isn’t fragmented, but seamlessly accessible across your organization. Where building AI-driven apps and APIs is effortless, and governance and compliance are built-in from day one. 🌐 This isn’t just a dream—it’s the promise of a universal data access layer, and it’s a game-changer for enterprise data strategy to enable AI. Join us for a live workshop and demo session where we’ll walk you through: 🔑 Practical data access strategy: Inspired by an ideal universal data access layer design with no limits and constraints. 🤖 AI enablement strategies: How to architect an AI-ready data platform using approaches like agentic data access and semantic data annotations. 🛡️ Robust Governance: Ensuring security, compliance, and operational efficiency through robust access control and governance frameworks. 📈 Data Quality Feedback Loops: Leveraging data quality metrics to drive iterative improvements and AI/ML alignment. ♻️ Virtuous Data Cycles: How a data access layer fosters sustainable progress, allowing you to act today without waiting for a perfect setup. This session is packed with practical insights, actionable frameworks, and real-world examples to help you take incremental yet impactful steps toward unifying your enterprise data—and enabling AI innovation across your organization. 📅 Save your spot now ➡️ https://bit.ly/3BEWuH9
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🚀 New in Hasura Data Delivery Network: Extend your #API with custom logic using our new Plugin Framework! 🎉 Create plugins in any language with pre-parse & pre-response hooks to influence API flow. Learn More: https://lnkd.in/gvGkSpTw
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💡 #GraphQL Subscriptions are here in Hasura Data Delivery Network! 🎉 Easily add real-time features to your apps. Just connect your data source, and subscriptions are enabled on all models by default. 🚀 Try it out today! Learn more: https://lnkd.in/g4UZdXA6
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We’ve all been there: deploying AI assistants that seem promising at first, only to hit roadblocks like lengthy development cycles, inconsistent results, and users losing trust after a few wrong answers. Join us for an live webinar on 9th Jan where we’ll introduce you to PromptQL – a revolutionary approach that addresses these challenges head-on by making AI assistants more reliable, transparent, and consistently accurate. Through live demos and real-world examples, we’ll show you how to build AI assistants that are: ✅ Transparent ✅ Steerable ✅ Verifiable ✅ Repeatable Save your spot now and join us live ➡️ https://bit.ly/3DpAYH5
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When combining data across domains (like matching sales with inventory), new quality requirements emerge that source teams couldn't anticipate. In this in-depth post, Ken Stott explains how enterprises can build high-velocity data quality feedback loops to mitigate this challenge. He covers: • Why point-of-delivery validation is critical • How to build automated feedback loops • A practical implementation guide with open-source code Check it out ➡️ https://bit.ly/3BAaZfm
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Join us tomorrow (Dec 12) for a special edition of our Community Call This episode is all about building AI assistants with PromptQL Check out the agenda and register here ➡️ https://bit.ly/4fbYVPk
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You can't spell Holiday without without AI Join us 👉 https://bit.ly/3DkR8RK
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Building #AI agents? Curious about the real-world challenges enterprises face? Our very own Anushrut Gupta is diving into it all during the panel discussion at the AI in Production + AI Agents Panels & Demos event today in San Francisco hosted by Yujian Tang at the Airbyte office. 🎟️ Details & RSVP: https://lnkd.in/gfBjsehK
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Exciting updates for PromptQL coming at Thursday's Community Call (Dec 12): ⚡️ Explainability: Understand your assistant's query plans step-by-step. 📊 Extract(): Expand PromptQL's data processing—turn unstructured data into clear, structured output. 🌐 Make Assistants Public: Share PromptQL assistants with project/user token limits for control. 📱 Mobile Playground: Build and use assistants on your phone. Don’t miss it. Register now ➡️ https://bit.ly/4fbYVPk