Three products. One stack.

Soika Stack is the inference management layer for enterprises and sovereign clouds. Deploy open and proprietary models across mixed GPU estates, route traffic intelligently, meter every token, and prove exactly what ran where.

• Unified model registry — version, sign and promote open-weight, fine-tuned and third-party models through dev, staging and production gates
• Intelligent routing — route each request by cost, latency, sensitivity or tenant policy, with automatic fallback across model families
• GPU scheduling & autoscaling — bin-pack workloads across B300, H200, H100 and L40S nodes, with pre-emption, priority classes and scale-to-zero
• Serving optimisation — continuous batching, paged KV-cache, speculative decoding and quantisation pipelines tuned per model
• Full-fidelity observability — token-level telemetry, per-tenant cost attribution, latency histograms and GPU utilisation in one console
• Air-gapped ready — install from a signed offline bundle; no telemetry callbacks, no external licence checks, no internet dependency

Soika Enterprise is where business teams and engineers build agents together. Ground them in enterprise knowledge, connect them to the systems of record, put approvals where they belong, and ship to the channels people already use.

• Visual agent builder — compose instructions, tools, knowledge and escalation rules on a canvas
• Enterprise knowledge — hybrid retrieval over documents, wikis, tickets and databases with permission-aware answers
• Systems that act — SAP, Oracle, Salesforce, ServiceNow, Workday and custom APIs
• Human in the loop — approval gates, confidence thresholds and handover to humans with a full trail
• Evaluation built in — golden datasets, regression suites and model comparisons before deployment
• Deploy anywhere — web, mobile, Teams, Slack, WhatsApp, voice, email and embedded widgets

Mockingjay Network is where single agents become an organisation. Supervisors decompose objectives, worker fleets execute in parallel across your systems, shared memory keeps them coherent, and every decision stays inside policy — for days or months at a time. Through the Global Agentic Network, those agents also work with other businesses’ agents, always on, 24/7.

• Agent fleets — define roles, team structures and escalation paths, scaling from three to three hundred agents
• Shared fleet memory — common working memory aligning all agents on facts, decisions and open questions
• Durable long-running processes — checkpointed state surviving failures and deployments
• Policy & guardrail engine — declarative rules enforced before actions, not audited after
• Simulation & replay — rehearse against historical scenarios and replay real runs step by step
• Workforce analytics — throughput, handoffs and cost per outcome