Assay
Make enterprise knowledge ready for AI Agents
3 followers
Make enterprise knowledge ready for AI Agents
3 followers
Assay connects enterprise knowledge sources read-only, then detects duplicates and competing versions, rates trust, preserves permissions and lineage, and routes high-risk decisions to people. It turns documents, images, video, and audio into governed knowledge for enterprise AI applications and Agents—without requiring content migration.
Your AI has a knowledge problem, not just a model problem.
Before an enterprise Agent can be trusted, the knowledge beneath it needs five controls:
1. Source coverage — connect the systems that matter without forcing a migration.
2. Authority — know which source, owner, and version should be trusted.
3. Deduplication and survivorship — resolve exact duplicates, near-duplicates, and competing versions before retrieval.
4. Permissions and lineage — preserve access boundaries and trace every answer back to its origin.
5. Human governance — route uncertain or high-risk decisions to the right reviewer.
That is the foundation we are exploring with Assay: a governed knowledge supply chain for enterprise AI applications and Agents.
If you are working on enterprise AI or RAG, the free knowledge-readiness check takes about two minutes:
https://assay.20190628.xyz/en?leadPrompt=1&utm_source=producthunt&utm_medium=launch&utm_campaign=knowledge-readiness-pilot&utm_content=ph_launch_update_five_controls
Which of these five controls is hardest in your environment?
If you’re visiting Assay today, there are two ways to explore it:
1. Try the interactive product demo — see read-only source connection, duplicate and version resolution, trust rating, permission-aware lineage, and human review:
https://assay.20190628.xyz/en/demo?utm_source=producthunt&utm_medium=launch&utm_campaign=knowledge-readiness-pilot&utm_content=ph_0900_demo_entry
2. Take the 60-second AI Knowledge Readiness Check — identify which knowledge control needs attention first:
https://assay.20190628.xyz/en?leadPrompt=1&utm_source=producthunt&utm_medium=launch&utm_campaign=knowledge-readiness-pilot&utm_content=ph_0900_assessment_entry
I’d love to know which path you tried and where the experience felt unclear.
Your AI has a knowledge problem, not just a model problem.
Before an enterprise Agent can be trusted, the knowledge beneath it needs five controls:
1. Source coverage — connect the systems that matter without forcing a migration.
2. Authority — know which source, owner, and version should be trusted.
3. Deduplication and survivorship — resolve exact duplicates, near-duplicates, and competing versions before retrieval.
4. Permissions and lineage — preserve access boundaries and trace every answer back to its origin.
5. Human governance — route uncertain or high-risk decisions to the right reviewer.
That is the foundation we are exploring with Assay: a governed knowledge supply chain for enterprise AI applications and Agents.
If you are working on enterprise AI or RAG, the free knowledge-readiness check takes about two minutes:
https://assay.20190628.xyz/en?leadPrompt=1&utm_source=producthunt&utm_medium=launch&utm_campaign=knowledge-readiness-pilot&utm_content=ph_launch_update_five_controls
Which of these five controls is hardest in your environment?