SVTR 硅谷科技评论SVTR
← Database

Paritok

Paritok is an open-source context compression gateway for AI coding agents, sitting between agents such as Claude Code, Cursor and Codex and LLM APIs to cut token costs via tool-schema filtering, content compression and history summarization.

Request an introWebsite ↗
Founded 2026

About

Paritok is an open-source context compression gateway for AI coding agents, sitting between agents such as Claude Code, Cursor and Codex and LLM APIs to cut token costs via tool-schema filtering, content compression and history summarization. It ships Paritok-4B, a compression model trained on 45K real agent trajectories, under Apache-2.0, with an optional paid hosted tier.

Capital graph

⬇
ParitokJiayu ShiJiayu ShiLuzhuo ChenLuzhuo Chen
CompanyInvestorFounders / teamCo-investment (thicker arc = more shared deals, ×N marks the count)Bigger circle = stronger signal (activity / coverage / interest) · ⛶ fullscreen · scroll / pinch to zoom · hover to highlight · drag nodes · click a node to open its profile

Founders / core team

Jiayu Shi创始人Luzhuo Chen创始人

Similar companies· Same sector “Training & Inference Stack”

Headroom Labs

Training & Inference Stack

Headroom Labs builds Headroom, an open-source context-compression layer that compresses tool outputs, database results, file reads and RAG chunks before they reach an LLM, cutting token usage for AI agents while keeping originals in a reversible local cache.

Ollama

Training & Inference Stack

Ollama, founded in 2023 and headquartered in Palo Alto, California, USA, provides an open-source tool for running large language models locally. Developers can download open-weight models and run them locally with a single command, with the option to use cloud resources for larger models.

TrustedRouter

Training & Inference Stack

TrustedRouter (legal entity Lore Hex Corp, a Delaware C-Corp) was founded by Joseph Perla and is registered in Miami, FL. It offers an OpenAI-compatible unified API gateway routing to 600+ models across 90+ providers on GCP/AWS/Azure, optimizing for price, reliability, region and privacy. The codebase is fully open source and combines confidential computing with hardware attestation to prove that no prompts or outputs are retained, positioning it as a 'provably private' alternative to OpenRouter.

RadixArk

Training & Inference Stack

RadixArk, founded in 2025 in Palo Alto, California, USA, develops AI systems around the SGLang inference engine and Miles reinforcement learning framework, improving model inference and training efficiency by reducing compute and memory requirements.

Wing Cloud

Training & Inference Stack

Wing Cloud, founded in 2022 in New York, USA, develops an open-source unified cloud programming language.

Autoloops

Training & Inference Stack

Autoloops provides inference infrastructure for voice-agent builders: serverless APIs and on-demand GPU clusters serving open-source LLMs such as Gemma at realtime speed. Its proprietary Hanoi engine targets low-latency voice workloads, claiming 2–2.5x lower p50/p95 latency than DeepInfra Turbo and tuned vLLM at high concurrency. Public case study: voice-AI testing platform Cekura. Pitched at GMI Cloud's SCALE accelerator Cohort 2 Demo Day (2026-10-23).

Investors that may fit

Sequoia Capital

7 Training & Inference Stack deals in the last 24 months

Request intro →

Spark Capital

6 Training & Inference Stack deals in the last 24 months

Request intro →

Menlo Ventures

4 Training & Inference Stack deals in the last 24 months

Request intro →

Index Ventures

4 Training & Inference Stack deals in the last 24 months

Request intro →

BoxGroup

3 Training & Inference Stack deals in the last 24 months

Request intro →

NVentures

3 Training & Inference Stack deals in the last 24 months

Request intro →

Ranked by each firm’s deals in this sector over the last 24 months, weighted by nearby stage and shared geography. Indicative only — no rating judgment.

Want to reach Paritok — for capital, customers, or partnership? Send a short request; SVTR reviews it and brokers the intro, with both sides verified before you meet.

Request an intro to this companySubscribe to Signal