Tracebloc
2 known investors
tracebloc provides deployable workspaces that let teams train, evaluate, and benchmark machine learning models on their own infrastructure (MacBook, Linux, Windows, or GPUs). It allows collaborators to be invited to work on models while accessing only dataset metadata rather than the raw data, and includes an SDK for submitting and training models.
Investors · 2
Competitors · 10
by search overlapNVIDIA6 shared keywordsNVIDIA designs GPUs, AI computing hardware, and software platforms for AI development, data centers, autonomous vehicles, and robotics, serving developers, researchers, and enterprises. Its offerings include AI models, power architecture for AI factories, and compute infrastructure used across industries such as manufacturing, healthcare, and automotive.
Netezza6 shared keywordsIBM is a global technology company whose business spans enterprise software (including Red Hat, HashiCorp, and Confluent), IT infrastructure such as mainframes, servers, and storage, and IT consulting services. The company is also investing heavily in quantum computing and AI-based enterprise offerings, including its Lightwell open-source software security clearinghouse and the Anderon quantum wafer foundry.
LLM Stats5 shared keywordsllm-stats.com provides open, reproducible evaluation and benchmarking infrastructure for large language models and AI systems. The platform aggregates 200+ benchmarks and enables performance comparisons across frontier AI models to support informed decision-making by researchers, enterprises, and model developers.
DataCamp5 shared keywordsDataCamp is a learning platform for teams that teaches data and AI skills through hands-on coursework accessible via web browser and mobile app. It serves enterprise customers and development teams seeking to build technical capabilities.
Galileo4 shared keywordsGalileo is an AI observability and evaluation platform that lets teams build datasets, create custom evals, and turn those evals into production guardrails that monitor agent behavior. It serves enterprise AI teams, offering out-of-box and custom evaluators, an insights engine for debugging, and deployment via SaaS, virtual private cloud, or on-premises.
Scale AI4 shared keywordsScale provides high-quality training data, model evaluations, and full-stack AI systems for enterprises and governments to build and deploy AI applications. The company supplies data annotation, RLHF, benchmarking, and red-teaming services for machine learning models.
Vellum4 shared keywordsVellum builds AI development tools and platforms for teams building AI applications. The company focuses on helping customers navigate the rapidly evolving AI landscape through products and expertise.
Confident AI4 shared keywordsConfident AI is a platform for evaluating, monitoring, and governing AI systems in production. It enables teams to standardize testing practices, track quality and latency metrics, and enforce governance policies across multiple AI initiatives.
Deepgram4 shared keywordsDeepgram builds foundational voice AI technology that enables speech-to-text, audio intelligence, text-to-speech, and voice agent APIs for businesses to create natural voice interactions. The company serves enterprises and developers across multiple industries seeking to integrate advanced voice capabilities into their applications and customer experiences.
Symbl4 shared keywordsSymbl.ai offers a developer platform with APIs, SDKs, and a specialized LLM (Nebula) that enterprises use to build real-time AI agents and conversation intelligence from voice, video, and chat. It provides tools for support, sales, and service teams to power voice agents, live agent assist, call scoring, sentiment analysis, and compliance alerts.
Companies competing with Tracebloc for the same Google search keywords, organic and paid, via search-intersection analysis.
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Frequently asked questions
- What does Tracebloc do?
- tracebloc provides deployable workspaces that let teams train, evaluate, and benchmark machine learning models on their own infrastructure (MacBook, Linux, Windows, or GPUs). It allows collaborators to be invited to work on models while accessing only dataset metadata rather than the raw data, and includes an SDK for submitting and training models.
- Who are Tracebloc's investors?
- Tracebloc's investors include Advanced Blockchain, Bloom / Giesen Family Office.