Datasets
Synthetic enterprise operating environments ↗
Multimodal data products for evaluation, simulation, workflow demos, and AI systems that need realistic operating context.
Layer 00 · Data + Context
/0.0
Operational data planes for real-world AI. Solstice starts with synthetic operating environments, uploaded documents, and enterprise exhaust pulled from the systems where work actually happens.
Layer 01 · Integration + Enrichment
/0.1
Autonomous integration layer for intelligence systems. Artemis autonomously discovers, maps, and compiles specialized bi-directional integrations while enriching raw API exhaust into governed operational evidence.
Layer 02 · Memory + State
/0.2
Replayable memory and governed temporal state. DeltaStore and TSC make history branchable, compressible, inspectable, and durable enough to support long-lived enterprise intelligence.
Layer 03 · Ontology
/0.3
Living operational memory with a governed object layer. Hermes, DeltaStore, TSC, and Proteus turn fragmented operating evidence into replayable memory and stable operational objects that can be trusted, versioned, and acted on.
Layer 04 · Pre-Flight Certification
/0.4
Adversarial validation for high-stakes AI. Before deployment, our Assurance engine subjects agents to an automated barrage of prompt injections, data exfiltration attempts, and tool misuse traps to ensure provable safety.
Layer 05 · Runtime + Interface
/0.5
Governed runtimes and interfaces that turn the system into software. Olympus is the runtime shell where sessions, approvals, replay, provider routing, objects, and analyses become governable software. Interfaces like Iris and domain products sit on top of that runtime.
Layer 06 · Strategic Intelligence
/0.6
Strategic intelligence on top of governed objects. Foresight attaches assumptions, cascades, incentives, black swans, and historical rhyme so the system can challenge and refine its own operating picture.
Layer 07 · Active Autonomous Defense
/0.7
Collaborative mesh of five specialized AI agents that guard, monitor, hunt, and deceive adversaries in real-time. It is the active security arm of the Solstice platform, providing automated SOAR playbooks.
Use Cases
Built for operating environments where truth changes, memory matters, and governance cannot be optional.
Solstice is strongest when enterprise reality is fragmented across systems, decisions need replay and audit, and AI has to operate through governed objects instead of opaque prompts.
01
Incident response
Pull Slack, tickets, runbooks, and service history into one operating picture, then project the result into governed incident objects with replay, approvals, and consequence analysis.
02
Knowledge operations
Keep enterprise knowledge alive as processes drift. Artemis finds dark data, Hermes reconciles evidence, Proteus projects stable truth, and Sol or Iris can surface it in context.
03
AI governance
Replace one-shot chat answers with replayable sessions, governed transitions, approvals, audit trails, and trust analysis that explain what changed, why it changed, and whether it should be acted on.
04
Strategic intelligence
Attach assumptions, cascades, incentives, black swans, and historical rhyme to the same governed objects so the system can challenge its own frame before people act on it.
Explore
Enterprise operations dataset
Cross-system operating data sample for AI, search, workflow, and analytics use cases.
HF
Marketplace-ready public sample
Commercial-quality sample pack distributed on Kaggle for broader buyer discovery.
Kaggle
Replayable runtime demo
Interactive DeltaStore surface showing inspectable state, history, and replay behavior.
Live
TSC research series
Compression and runtime-memory research that frames the infrastructure side of the platform.
Research