Built to scale far beyond a single merchant. Its multi-tenant architecture lets schemes, acquirers, PSPs and fintechs run agentic commerce across an entire merchant base with interoperable agents and full agentic marketplace offerings.
Four years of engineering went into a secure, scalable and optimised orchestration engine before a single agentic process was layered on top. That engine is the critical foundation that lets us offer a scalable, interoperable, multi-merchant platform.
It is also the crucial differentiator. Virtually all current agentic commerce efforts are proofs of concept or bespoke builds that lack this orchestration layer, and so cannot scale, interoperate or support mass adoption the way an enterprise-ready platform must.
Dataiera is the only infrastructure layer merchants need to participate in the agentic commerce economy, whatever AI channel, agent framework or payment network they operate within.
As AI moves from chat to action, merchants require infrastructure designed from the ground up for AI-initiated commerce not adapted from legacy e-commerce stacks.
Dataiera handles authentication, payment orchestration, data retrieval and fulfilment routing through unified APIs so merchant teams can then focus on making their products accessible via API or catalog and on customer experience UI design.
Whatever the category or ingestion path, Dataiera turns your catalog into one agent, live across every agentic channel.
Any category, any format. We map your products into agent-ready data.
Orchestration, security, compliance and payments, all managed for you.
A single commerce agent goes live across every channel and protocol your buyers use.
A single platform spanning orchestration, intelligence and commerce.
Event-driven, serverless core managing agent workflows, service routing and real-time transaction processing at scale.
Model-agnostic AI agent framework with multi-tier memory, RAG and a supervisor-led assistant hierarchy.
PCI DSS Level 1 compliant payment infrastructure with tokenisation, virtual card management and secure document storage.
A hexagonal ‘ports and adapters’ pattern. All external dependencies connect through well-defined adapter interfaces; the core domain model never directly references any external system.
Migrating from Azure to AWS, or introducing multi-cloud, requires adapter replacement only, not domain re-engineering.
Replacing one LLM provider with another, or upgrading to a new model generation, is a configuration change, not a code change.
New merchant integrations ship as new adapters, without destabilising the core platform.
The core intelligence layer. Each agent is constructed from narrowly defined assistants, each a discrete unit of intelligence comprising a model, instructions and tools.
The language model assigned to the assistant, selected for optimal cost and capability for the specific task.
A system prompt defining the assistant’s role, constraints, output format and escalation conditions.
API bindings and function calls the assistant can invoke: product search, payment initiation, document retrieval, booking APIs.
For large catalogs, product data is indexed as vector embeddings enabling semantic search across millions of products, combined with real-time API retrieval via MCP servers and LLM synthesis.
For smaller catalogs, the entire catalog loads directly into the model context (up to 200,000 tokens), eliminating retrieval latency while keeping sub-second response times.
Dataiera is PCI DSS Level 1 compliant, the highest certification available. A platform-level architectural commitment governing how all payment-adjacent data is stored, processed and transmitted.
First-to-market integration with Mastercard’s agent payment rail, enabling AI agents to initiate authenticated, authorised transactions autonomously.
Cryptographic proof that a transaction was legitimately initiated by an authenticated AI agent acting on user instruction.
Full Visa Acceptance integration covering authorisation, settlement and dispute management across the merchant network.
Per-transaction virtual cards as the settlement instrument, with spend limits, controls and full reconciliation data for every AI-initiated transaction.
Platform-level controls governing how all data is stored, processed and transmitted across the stack.
Dataiera is infrastructure, not a front end. It integrates with existing merchant stacks without requiring replacement of existing systems.
Connect directly to the full API surface to build a proprietary commerce experience, with full control over interaction design, visual identity and flows.
Pre-built React portal configurable to brand guidelines: dashboard, multimodal chat, artifact display, trip management, document repository and voice panel.
Engineered for enterprise operational requirements.