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Introduction to Lattice

Lattice is an Agentic AI Lab Assistant designed for research engineers, platform leads, and CTOs who need to make confident AI infrastructure decisions.

Teams spend weeks manually gathering pricing pages, model cards, benchmarks, and documentation—only to have the information go stale within months. AI infrastructure decisions require:

  • Comparing dozens of model providers
  • Understanding performance tradeoffs
  • Calculating costs at scale
  • Ensuring compliance requirements
  • Keeping up with rapidly evolving technology

Lattice provides a unified workspace where you can:

Curate Knowledge

Import PDFs, URLs, GitHub repos, and documentation into a searchable knowledge base

Ground Responses

Get AI-powered analysis backed by citations from your actual sources

Configure Scenarios

Define workload requirements with SLOs, budgets, and compliance constraints

Build Stacks

Generate optimized infrastructure configurations for your specific needs

RoleUse Case
Research EngineersEvaluate embedding models, RAG pipelines, and inference options with benchmarks and citations
Platform LeadsConfigure scenarios with SLOs, budget constraints, and compliance requirements
CTOsGenerate executive-ready artifacts for board presentations with full decision provenance

Lattice organizes your workflow into three connected panels:

  • Sources — Your curated knowledge base of documentation, benchmarks, and research
  • Lab — AI-powered chat with grounded responses and transparent reasoning
  • Studio — Generated artifacts including tables, charts, memos, and diagrams

Every recommendation from Lattice includes:

  • Citations — Numbered references to specific source passages
  • Thinking Steps — Transparent reasoning you can verify
  • Verifiable Claims — Click any citation to see the original context

Lattice works with your preferred AI providers:

  • Anthropic Claude (Opus, Sonnet, Haiku)
  • OpenAI GPT-4
  • Google Gemini
  • Ollama (local models)