Applied infrastructure for the agent-operated web

Services

Services

Build · Govern · Validate

Solstice turns advanced AI infrastructure into deployable service packages: synthetic datasets, agent-ready websites, autonomous integrations, intelligence dashboards, defensive validation, audit trails, and custom AI product builds.

Data plane Synthetic datasets, eval packs, marketplace-ready schemas, and realistic operating data.
Agent interface layer Arachne and Artemis make websites, APIs, and workflows legible to AI agents.
Runtime governance Olympus, DeltaStore, and approval-aware workflows make AI actions inspectable.
Validation surface Phalanx and Nemesis pressure-test workflows before agents operate in production.
Layer 00 · Data + Simulation
/0.0

Custom synthetic datasets for AI training, marketplace listings, simulation, evaluation, and domain-specific demos. Built for teams that need realistic data without waiting on production data access.

Best forAI startups, marketplace listings, model builders, demos, evaluation suites.
OutputsCSV, JSONL, Parquet, schema docs, data dictionaries, metadata.
TimelineFast packs in days. Custom simulations scoped by domain complexity.
  • Custom tabular datasets
  • Domain-specific scenario generation
  • Evaluation and benchmark packs
  • Data dictionaries and schema docs
  • Marketplace-ready packaging
  • Metadata and licensing notes
Layer 01 · Agent-Ready Websites
/0.1

Arachne makes human websites manageable by agents. It maps pages, forms, actions, risks, and policies, then emits agent-facing files like llms.txt, agent-manifest.json, and MCP/OpenAPI recommendations.

Best forSaaS teams, agencies, e-commerce, docs-heavy companies, founders.
OutputsAgent-readiness report, manifests, action map, risk findings.
OutcomeAgents stop guessing and start using a governed interface surface.
  • Generated llms.txt
  • Generated agent-manifest.json
  • Site action and form map
  • MCP/OpenAPI surface recommendation
  • Prompt-injection surface review
  • Agent workflow simulation
Layer 02 · Autonomous Integration
/0.2

Autonomous connector discovery and integration architecture for teams that need to pull APIs, docs, dark data, and workflows into AI systems without hand-writing brittle integration code every time.

Best forAI products, internal tools, data operations, API-heavy workflows.
OutputsConnector prototype, integration plan, generated code, sync strategy.
ControlsRead-first defaults, operation registries, controlled write enablement.
  • OpenAPI/Swagger discovery
  • HTML documentation fallback
  • Generated Python connectors
  • Read-first sync defaults
  • Controlled write enablement
  • Arachne web-interface mapping
Layer 03 · Intelligence Interface
/0.3

Custom dashboards, command centers, and intelligence interfaces that turn agent activity, business context, risk signals, and runtime events into something operators can actually see and manage.

Best forFounders, internal ops, AI teams, executive reporting, investor demos.
OutputsDashboard UI, prototype, data views, demo-ready interface.
OutcomeTurn backend intelligence into a presentable operating surface.
  • Executive dashboard UI
  • Agent activity monitoring
  • Risk and governance views
  • Data ingestion visualization
  • Workflow/status monitoring
  • Investor/demo-ready product UIs
Layer 04 · Defensive Validation
/0.4

Defensive validation for AI-operated systems. Phalanx reviews agent workflows, approval paths, prompt-injection surfaces, action gates, and auditability before autonomous systems move into higher-risk environments.

Best forAgent workflows, AI SaaS, enterprise pilots, governance reviews.
OutputsRisk report, abuse-case findings, hardening recommendations.
Powered byNemesis-style adversarial simulation and Phalanx hardening logic.
  • Agent workflow risk review
  • Prompt-injection surface analysis
  • Approval/write-gate testing
  • Agent action audit review
  • Nemesis abuse-case simulation
  • Phalanx hardening recommendations
Layer 05 · Audit + Replay
/0.5

Tamper-evident audit trails and replayable records for AI and agent actions. DeltaStore makes approvals, tool calls, changes, and critical outputs inspectable after the fact.

Best forGovernance, compliance, agent actions, approval workflows, review trails.
OutputsEvent model, hash-chain design, logging integration, replay plan.
OutcomeKnow what happened, what changed, who approved it, and why.
  • Event trail design
  • Hash-chained action logs
  • Approval and execution records
  • Receipt/artifact capture
  • Replayable decision trails
  • Governance reporting
Layer 06 · Custom Product Builds
/0.6

Custom AI prototypes, MVPs, product UIs, automation tools, demos, and internal systems for teams that need something real to show, test, or sell quickly.

Best forFounders, agencies, internal teams, demos, pitch builds, MVPs.
OutputsPrototype, landing page, agent demo, internal tool, product UI.
ApproachFast, practical builds with Solstice infrastructure available underneath.
  • AI workflow prototypes
  • MVP landing pages
  • Agent demos
  • Automation tools
  • Internal copilots
  • AI product UI/UX
Need the fast path?

Start with one package. Expand into the platform.

Pick the service that maps to your most immediate business need: data, agent-ready websites, integrations, dashboards, validation, auditability, or a custom AI build. The Solstice platform can expand underneath it as the work matures.

Scope a Build