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What we build

Three offerings. Equal weight. All shipping.

Two SaaS products and a custom-AI engineering practice. Pick the one that fits, or stack them.

Horizon
Demand forecasting for retail and manufacturing.

Forecast, simulate, replenish, execute. Multi-level, channel-aware, integrated with the ERPs and commerce stacks your planners already run on.

  • SKU-level forecasting that learns continuously
  • Scenario simulation for promotions, pricing, demand shocks
  • Replenishment recommendations across stores and warehouses
2,000+ time series, 85-92% weekly accuracy, 12-week median deployment.
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Pliney
The grounded AI agent for operations teams.

RAG over your sources, multi-agent routing, live tool use over your ERP and helpdesk. Forecasts are queryable in plain language via Horizon.

  • Grounded answers with cited sources on every reply
  • Resolves requests end-to-end via MCP (Model Context Protocol) and REST, not just routes them
  • RAGAS answer-quality scoring on every conversation turn
Resolves 60-80% of routine queries in operations and customer-facing workflows.
Explore Pliney
Custom AI Solutions
Engineered end-to-end for the problems that don't fit a SaaS.

Discovery sprint, fixed-scope pilot, production rollout. Agent pipelines, RAG systems, data platforms, built on the same engineering principles that run our products.

  • Multi-stage agent pipelines with audited prompts and citations
  • Real connectors: ERPs, marketplaces, helpdesks, MCP, REST, GraphQL
  • Tenant isolation, raw payload preservation, evaluation in CI
Shipped across compliance, marketplace ops, data infrastructure, and forecasting research.
Explore Custom AI Solutions
How we build

What every system we ship runs on.

The same engineering principles drive Horizon, Pliney, and every Custom AI Solution we build for clients. AI that ships is AI you can trace, evaluate, and govern.

Grounded retrieval

Every answer cites its source. RAG pipelines you can audit, with citations surfaced to the user.

Production observability

RAGAS auto-evaluation on every turn. Structured tracing, span-level visibility, evaluation in CI.

Connectors first

REST, GraphQL, ERPs, helpdesks, MCP servers. Real integrations, not webhook stubs.

Tenant isolation by default

Multi-tenant boundaries enforced at the data model. Tenant-scoped models, raw payload preservation for audit.

Let's talk.

Tell us about the decision you're trying to make. We'll tell you whether Horizon, Pliney, or a Custom AI Solution fits, or whether it's none of the above.

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