Logic
Seattle, US · 7 employees on LinkedIn · 14 known investors
Logic is a production AI platform where teams write a natural language spec that is turned into a spec-driven agent with typed REST APIs, auto-generated tests, version control, and multi-model routing across providers like GPT, Claude, and Gemini. It targets engineering teams building LLM-based automation for customer-facing features or internal operations without maintaining the underlying infrastructure.
Also known as Logic Inc
Founders & leadership
Investors · 14
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Also in the syndicate · 6
Funding
SEC filings, press & company announcements$11.5M disclosed across 1 of 2 rounds · 2024–2026
- $11.5MSeedJul 2026 · 4 sources
Bison Ventures (lead), General Catalyst (lead), Khosla Ventures (lead), 8VC, Alumni Ventures, Defined, Flare, J2VP, Page One, Pillar VC, PTX, Valia Ventures
Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Company profile
researched Aug 2026Logic operates a platform for building and running LLM-based agents that are defined by a written specification rather than by code, frameworks or visual flowcharts. A user describes the desired behavior, inputs and outputs in plain English, and the resulting agent can be exposed as a strictly typed REST API immediately on save, with automatically generated API documentation, integration guides, input forms and a shareable web interface derived from the spec. The platform also publishes an MCP server for use from AI tools such as Claude, Cursor and ChatGPT, and supports batch execution of an agent against an entire CSV dataset.
The product is organized around five capabilities: validation, versioning, deployment, routing and observability. Each agent includes a built-in test harness in which expected outputs are defined inline, suites run on save, regressions are detected automatically on every edit, and tests can be triggered through the API for CI/CD pipelines. Spec changes are versioned with git-like diffs, instant rollback, immutable versions and version pinning, and approval workflows let non-technical editors change agent logic without redeployment or separate prompt management. Requests are routed automatically across OpenAI, Anthropic, Google and Perplexity models based on task complexity, latency and cost, with automatic failover when a provider errors and execution caching for deterministic workloads. Every execution is logged with inputs, outputs, model reasoning and latency, with error surfacing and execution history across agent versions.
Logic offers a library of forkable templates as starting points, including a contract clause analyzer, entity matcher, invoice and purchase-order data extractor, onboarding personalizer, PII redactor, resume screener, support ticket classifier and product listing moderator.
▸Full profile — market position, technology, go-to-market
Market position
Competes in the LLM application tooling market as a consolidated alternative to separate evaluation, prompt-versioning, routing, deployment and observability products.
Logic positions the spec itself as the artifact, avoiding frameworks, SDKs and flowchart builders, and bundles capabilities that the site attributes to separate tool categories: evaluation and testing (Braintrust, Promptfoo, custom eval scripts), prompt versioning (PromptLayer, HumanLoop, manual pipelines), API surface and docs (custom frontends, Swagger/OpenAPI), model routing (OpenRouter, Martian, custom routing) and tracing (LangFuse, LangSmith).
Technology
Agents are specified in natural language; the spec defines behavior, inputs and outputs and is compiled into a strictly typed REST endpoint with generated documentation and UI. Supporting components include an inline test harness with expected-output matching and automatic regression detection, git-like version control with diffs, immutable versions, version pinning and rollback, a routing layer spanning OpenAI, Anthropic, Google and Perplexity models with complexity/latency/cost-based model selection, automatic provider failover and execution caching, an MCP server for integration with AI tools such as Claude, Cursor and ChatGPT, batch CSV execution, and per-execution logging of inputs, outputs, model reasoning and latency.
Go-to-market
Self-serve entry through the website, with an interactive example, a "Get started" flow, a forkable template gallery, documentation on writing custom agent specs and a product video on YouTube; the site also references teams already using the product.
Engineering and product teams that need production agents callable as APIs, including organizations where non-engineers update agent logic under approval workflows while engineers consume stable interfaces. Template coverage points to use cases in contract review, record matching, invoice and purchase-order extraction, user onboarding, PII detection and redaction, resume screening, support ticket triage and marketplace listing moderation.
Compiled by commissioned research from 1 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
In the news
▸Research sources · 1
primary sources listed
- Logiclogic.inc · web
1 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Logic do?
- Logic is a spec-driven agent platform that turns plain-English specs into tested, versioned production APIs.
- Who founded Logic?
- Logic was founded by Steve Krenzel, Jess Garms.
- Who are Logic's investors?
- Logic's investors include Audacious, 8VC, Alumni Ventures, Bison Ventures, General Catalyst, Khosla Ventures, Pillar VC, Valia Ventures.
- How much funding has Logic raised?
- Logic has disclosed $11.5M raised across 1 of its 2 known rounds.
- Where is Logic headquartered?
- Logic is headquartered in Seattle, US.