Relace provides specialized AI models and infrastructure optimized for autonomous code generation workflows. Their platform offers fast code retrieval, reliable merging, and low-latency code generation tailored for engineering pipelines. Teams utilize Relace to accelerate development cycles and improve code quality through purpose-built models.
Funding
$23M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Software engineering teams rely on general-purpose large language models that are slow to retrieve relevant code, struggle with accurate merging, and introduce latency and integration overhead, leading to higher error rates and longer development cycles.
Solution
Relace delivers a suite of purpose-built small language models (SLMs) and an optimized inference stack designed specifically for coding agents. The platform provides sub‑second semantic codebase search and a high‑throughput merging engine that applies edits at up to 10,000 tokens per second, enabling rapid pull‑request reviews and automated fixes. Integrated source‑control primitives expose lightweight push/pull operations, automatic indexing, and rate‑limit tuning for CI/CD pipelines, so developers can embed code‑gen capabilities directly into their tooling. Relace offers both hosted APIs for quick onboarding and self‑hosted or VPC‑isolated deployments that keep proprietary code within the customer’s environment, backed by SOC 2 compliance and end‑to‑end encryption. This combination reduces manual coding errors, accelerates feature delivery, and provides a scalable foundation for autonomous development workflows.
Target Audience
The primary customers are software development organizations—platform engineering teams, DevOps groups, and enterprise engineering departments—that need reliable, low‑latency code generation and automated merge capabilities within their CI/CD and source‑control workflows.
Features
- Sub‑second semantic search across large repositories (≤ 2 seconds) using in‑house retrieval models.
- Universal merging model capable of applying edits at 10 k tokens / second, supporting fast PR automation.
- Lightweight source‑control API with push/pull, branching, and automatic two‑stage indexing optimized for high‑throughput agents.
- Task‑specific coding agents that can be instantiated per repository, leveraging fine‑tuned SLMs for utility tasks.
- Flexible deployment options: fully managed SaaS, on‑premise, or VPC‑isolated instances with full control over latency and compliance.
- Enterprise‑grade security: SOC 2 certification, data encryption in transit and at rest, and role‑based access controls.
- Rapid onboarding via hosted API keys and guided enterprise rollout, including CI/CD integration guides and SDKs.