| What it does | Production AI at enterprise scale
| Open-source, self-hostable platform for building and governing AI agents across multiple channels
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| Stage | Established
| Startup
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| Founded | 2016
| 2025
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| Based in | US
| IN
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| Pricing model | Contact for pricing
| Open source
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| Pricing | Flexible subscription, term, and perpetual licensing models. Organizations switching from conventional architectures see 60-80% reduction in total infrastructure cost. CPU-based pricing with no incremental ETL costs.
| Free to run, fork and build on commercially under Business Source License 1.1; paid hosted plans from $0 to $79 USD
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| Key features | - AI on Enterprise Data - bring AI directly to governed enterprise data at petabyte scale
- Security - built-in controls for access, governance, and compliance
- Deployment Options - cloud, on-premises, or hybrid deployment flexibility
- Data Ingest - continuously ingest and prepare high-volume data for AI-ready analytics
- Query Optimization - run complex analytics on petabytes of data with predictable performance
- Semi-Structured Data - give AI richer context with structured and semi-structured data in one platform
- Megalane Parallelism - sub-second queries at petabyte scale
- Zero Copy Reliability - no data duplication or redundant storage overhead
- Compute Adjacent Data Store - computation happens where data lives
- Smart Data Pipelines - continuously governed data pipelines replace manual ETL
| - Human approval workflows
- Multi-channel support (WhatsApp, email, voice, web)
- Retrieval and graph memory
- Guardrails and governance with budgets
- Browser automation
- Role-based access control
- OpenAPI and Swagger tool import
- Agent skill learning
- Sealed audit log
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| What makes it different | - Petabyte-scale performance without moving or duplicating enterprise data
- 60-80% reduction in infrastructure costs compared to conventional architectures
- Production-grade AI delivery with expert implementation and solutions delivery teams
- Flexible licensing models aligned to how enterprise AI programs actually scale
- Unified platform for ingest, governance, query execution and optimization
| - Runs on laptop, server, or Kubernetes—same images everywhere from release
- Complete governance embedded in platform and SDKs with approval, budgets, audit
- Open standards: MCP, A2A, AG-UI, OpenTelemetry, OIDC, OpenAPI
- Business Source License allows commercial use and forking
- Console in 22 Indian languages
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 54 ● no change since last check | 8 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 16 | 0 |
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| Citation Flow (Majestic) | 38 | 11 |
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| Referring domains (Majestic) | 361 | 2 |
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Ocient
VegaDūta