| What it does | The privacy firewall between your sensitive data and any AI
| Memory layer for AI coding agents that ties code, tickets, docs and conversations into one queryable graph
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Questa Blackbox: Fixed setup fee plus fixed usage fee (quoted after scoping call). Questa Developer: Free API trial, pay as you scale. Questa Cloud: Simple license fee for 1-5 person teams.
| Local: free forever. Local + Server plans: Solo $15/month for one key, Team $99/month for 10 keys or $459/month for 50 keys, Enterprise custom. All paid plans include 18 connectors, better embeddings and reasoning, Oynix Ask and Oynix Wiki.
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| Key features | - Local data anonymization before AI processing
- Compliance monitoring and audit trails
- Safe AI agents for analytics and reporting
- Self-hosted or cloud deployment options
- Multi-LLM support without vendor lock-in
- Document integration and processing
- Role-based access controls
- Industry-specific compliance templates
| - Connects 18 sources: GitHub, GitLab, Bitbucket, Slack, Microsoft Teams, Jira, Linear, Sentry, Confluence, Notion, Google Drive, Microsoft 365, Mixpanel, CleverTap, Firebase, Supabase, and custom file
- Builds live knowledge graph from code, tickets, docs and conversations
- MCP server integration with Claude, Cursor, Codex and 13+ agents
- Oynix Wiki: automatically generated engineering handbook with every claim traced to source
- Oynix Ask: query the graph and get exact nodes with source attribution
- Live presence: see who is editing in your codebase right now before your agent collides with their work
- No per-token, per-file, per-function or per-repository billing; pricing by seats only
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| What makes it different | - Privacy-first architecture anonymizes data before any AI processing occurs
- Complete platform combining redaction, analytics, and governance in one unified audit trail
- Pre-built solutions for regulated industries like healthcare, legal, and finance
- Uses open-source models without training on customer data
- On-premise deployment prevents data leaving customer infrastructure
| - Runs entirely on your machine with no code uploaded to external servers, unlike vector search tools
- Returns exact graph nodes and paths instead of text chunks, with reasoning about who owns what and why it exists
- No per-token billing; your AI provider bills you for its own usage on your own key
- Memory stays and improves after each session, not lost between conversations like stateless agents
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 23 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 7 | 0 |
| Citation Flow (Majestic) | 31 | 26 |
| Referring domains (Majestic) | 127 | 22 |