Startups
Hybrid systems that combine on-chain data provenance and tokenised incentives with ML inference — for startups where trust, transparency, and intelligence must coexist.
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Industry overview
AI and blockchain integration combines smart contract execution for trustless data recording with machine learning inference layers that act on or enrich that data — used in applications where auditability and prediction must work together.
At a glance
Some of the most defensible startup products sit at the intersection of AI and blockchain: a supply chain platform where an ML model predicts spoilage and a smart contract automatically releases payment when verified delivery conditions are met; a credentialing system where AI scores assessments and NFTs record verified achievements on-chain. These products are technically hard to assemble from separate contractors. We have built them as integrated systems, owning the full stack from smart contract to inference endpoint to user interface.
We design the boundary between on-chain and off-chain carefully: smart contracts handle state that must be trustless and auditable; ML models handle pattern recognition and prediction that would be prohibitively expensive to run on-chain. The two layers communicate via oracle contracts or event-driven workers. We build in Solidity or Rust for the chain layer, Python/FastAPI for model serving, and React for the frontend. Test suites cover both layers independently and in integration.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to startups clients.
Smart contract development in Solidity or Rust with full unit and integration tests
Oracle and event-driven worker bridges between on-chain state and ML inference
ML model training and serving pipelines with FastAPI inference endpoints
Tokenised incentive mechanics: ERC-20, ERC-721, or custom token standards
On-chain provenance recording for AI-generated outputs and decisions
React frontend with wallet connection, transaction status, and model output display
Work with us
Share what you're building — we'll respond within one business day with questions or a proposal outline.
