Build enterprise AI applications without stitching five services together.
We're working with a small group of engineering teams building AI agents, GraphRAG systems, fraud detection platforms, customer intelligence solutions, and enterprise AI applications.
If you're struggling with fragmented AI infrastructure, we'd like to work directly with you.
The problem
Most AI platforms require a growing collection of services. Every new component adds complexity, latency, operational overhead, and cost.
Engineering teams spend months integrating infrastructure before delivering business value.
The alternative
SynapCores combines everything you need to build modern AI applications inside a single engine.
- SQL
- Vector search
- Graph traversal
- Semantic search
- Agent memory
- AI inference
- Machine learning
Run local. Deploy on-premises. Scale when needed.
No synchronization pipelines.
No duplicate data stores.
No glue code between systems.
Who we're looking for
Teams actively building one of these — in prototype or production — where the architecture pain is real and ongoing.
GraphRAG platforms
Knowledge systems, enterprise search, document intelligence, research assistants, copilots.
AI agents
Agent memory, multi-agent systems, tool orchestration, autonomous workflows.
Fraud detection
Fraud rings, account-takeover detection, AML analytics, transaction monitoring.
Identity resolution
Customer 360, entity resolution, relationship analysis, master data initiatives.
Enterprise AI products
Commercial products where data, relationships, vectors, and reasoning must work together.
What design partners receive
Real collaboration with the team that built the engine — not a self-serve trial with a sales rep watching from the sidelines.
Direct founder access
Work directly with the creators of SynapCores. Architecture reviews, implementation guidance, roadmap feedback, and technical support.
Priority feature access
Early access to upcoming capabilities before public release. Ship features your competitors can’t.
Dedicated support
Hands-on assistance during evaluation, proof-of-concept, and implementation. Sub-day turnaround on blockers.
Influence product direction
Help shape features that matter to your organization. Your roadmap requests move to the front of the queue.
Why teams are evaluating SynapCores
Five vendors. Five operational models. Five places things break.
One engine
One deployment
One query language
One operational model
Example use cases
Where the one-engine model collapses days of architecture work into minutes of SQL.
GraphRAG
Combine vectors, graph relationships, and SQL queries in a single retrieval pipeline.
Fraud detection
Identify hidden relationships across customers, devices, accounts, and transactions.
Agent memory
Store structured, semantic, and relationship data inside a unified memory layer.
Identity resolution
Connect fragmented customer records across multiple systems.
Design partner requirements
You do not need to be a customer today. We are looking for organizations that:
- Have a real business problem
- Are actively building AI solutions
- Can provide feedback during evaluation
- Want direct collaboration with the product team
Apply for the Design Partner Program
Applications are reviewed personally by the founding team.
Questions? Prefer to talk first?
Schedule an architecture discussion with the SynapCores team