Synvo AI Enterprise Memory Layer

Synvo AI is a Singapore-based company, according to KrASIA's June 2026 report, building an enterprise memory layer that lets AI systems and agents retain and reason across organisational data. Companies that deploy agents over thousands of mixed-format files struggle to give those agents reliable context.

Synvo positions its technology as a contextual memory layer for enterprise agents. It handles images, video, audio and documents, including embedded charts and screenshots, uses semantic chunking in its embedding pipeline, and runs an agentic search that follows up results and resolves cross-references. Answers carry exact references to source documents. The product is in beta, the company focuses on B2B and offers an Explore a Pilot option.

• Multimodal understanding: processes images, video, audio and documents, including embedded charts.
• Semantic chunking: keeps retrieved passages coherent.
• Agentic search: iterates on results, follows up and resolves cross-references.
• Source provenance: gives exact references for verification and compliance.
• Enterprise use cases: financial analysis, strategic planning, compliance due diligence and competitive intelligence.
• Developer docs and pilot: documentation available and an Explore a Pilot option.

Vietnamese banks can let agents answer policy and contract questions with cited sources. Manufacturers can search technical documents, drawings and videos across plants. Legal and compliance teams can check vendor contracts against regulations with traceable references.

Exact source references support verification and compliance checks. Multimodal handling lets agents use charts, screenshots and video, not only text. Iterative agentic search reduces missed cross-references across large file systems. A pilot option lets enterprises test on their own documents.

Enterprises are moving AI agents from demos to work over internal file systems, which raises demand for persistent, auditable memory. Compliance-heavy sectors need answers traceable to source documents. Vietnamese banks and manufacturers with large document archives are potential adopters.

Singapore-based per KrASIA (23 June 2026); USD 1 million seed round. Product in beta. The site footer shows copyright 2026 and developer documentation.