| What it does | Enterprise agentic AI platform for complex, large-document workflows
| An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | CA
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| Pricing model | Freemium
| Freemium
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| Pricing | Trial: Free 2-week trial with 2,500 AI assistant interactions, 10 RFP analyses, 15 document compositions, 25 research reports, 50 image generations. Professional: $200/user/month with 5,000 interactions, 20 RFP analyses, 30 document compositions, 50 research reports, 100 image generations. Enterpris
| Prototype: free during beta, then from December 16, 2026 it costs $1 per 1,000 agent calls after 1,000 monthly included calls. Production: $20 a month with 20,000 agent calls included, then $1 per 1,000 calls after that. Top-ups: $1 per 1,000 calls, from $10 to $500 at a time, never expiring.
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| Key features | - Proposal Workflow for RFP and tender responses with AI agents for research, extraction, matching, analysis, templating, and writing
- Zeta Chat for research, analysis, and content creation with traceable sources and citations
- Document Composer for generating medium and large text documents with section-by-section composition
- Deep Web Research for comprehensive research and synthesis with citations
- Traceable and auditable outputs with source verification
- 20+ agents and workflows for automation
- Web search with citations and document Q&A across uploaded files
- Data analysis with sandboxed Python execution and 25+ scientific libraries
- Image and video generation up to 4K with composition and editing
| - Prompt rebuilt from journal under token cap at each step to keep it bounded as history grows
- Spending limits checked before each model call at token prices you declare
- Resume after crash without repeating finished actions
- Tool calls returned as actions for your code to carry out
- Proof of what ran: check prompts, re-run engine, download hash-chained journal
- Integrations with Vercel AI SDK, OpenAI Agents SDK, LangGraph, Mastra, Pydantic AI
- MCP server for Claude Code, Claude Projects and Codex
- Works with any model via bring-your-own-key
- TypeScript and Python clients for HTTP API access
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| What makes it different | - Structure-based workflows instead of open-ended prompts for reliable, consistent results
- All outputs traceable to source documents with audit-ready documentation
- Canadian data sovereignty with secure, controlled environments protecting sensitive information
- Team-first platform with shared workspaces and collaborative access controls
- Bilingual by design with full French and English experience for Canadian and European organizations
| - Bounded prompt under a fixed cap while history grows, so costs per call stop climbing on long sessions
- Every run recorded with cryptographic proof: rebuilable prompts, hash-chained journal, re-runnable engine
- Resumes from crash without repeating finished actions using stable idempotency keys
- Budget enforcement before each model call, not reactive overage billing
- No model key storage or logging; your provider bills you directly
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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) | 34 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 17 | 0 |
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| Citation Flow (Majestic) | 28 | 9 |
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| Referring domains (Majestic) | 157 | 4 |
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Zetane
Argentic