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AI agents

# Trace

Trace is a workflow orchestration platform that gives agents shared context across systems and lets teams build visual processes combining AI and humans. It automatically identifies which tasks can be AI-automated and which need human input, so non-technical teams build and run workflows without engineering involvement.

sources

3

Evidence entries preserved.

affiliations

3

Antler, Techstars, Y Combinator

competitors

6

Mapped from High Signal graph features.

status

generated

artifact cache

last updated

2026-07-15

17:19 UTC

source evidence

Why this company exists here

## Y Combinator

yc-company-directory #3009

[official source](https://www.ycombinator.com/companies/trace-so)

## Antler

antler-portfolio #2124

[official source](https://www.antler.co/portfolio?0b933bfd_page=22)

## Techstars

techstars-portfolio #1215

[official source](https://www.techstars.com/portfolio)

generated read

High Signal interpretation

Trace is classified as **AI agents** from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction

Product facets

AItraceconsumersAI-automatedemployeesworkflow orchestration platformconsumer brands

mapping method

Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

## Companies similar to Trace

AI agents · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

[### Kuli match 61Kuli is an AI coworker for marketing teams at the world's largest consumer brands. Our agent watches all videos across social media, learns the brand's context and helps them turn signals from billions of social videos into winning campaigns without increasing headcount. Previous platforms gave marketers databases to search through and a CRM. Kuli actually watches the content. Marketers at team like Disney, Nivea and PostHog use it to scout creators, run analysis on trends and competitor strategshared extracted concept terms: consumer, brand; shared product terms: consumer, brand, context, run; shared product theme: context and memory; same category: AI agents; shared affiliation: Y Combinator](https://highsignal.app/case-studies/kuli)[### Verne Robotics match 61We build AI models for controlling robot arms, enabling them to learn new skills in just hours. Our robots help businesses cut costs by automating back-of-house tasks with an innovative pay-by-the-hour business model. Our customers include a biotech unicorn, a leading biotech non-profit, and a direct to consumer apparel brand.shared extracted concept terms: consumer, brand; shared product terms: task, automat, non, consumer; shared affiliation: Y Combinator](https://highsignal.app/case-studies/verne-robotics)[### Rovr match 59Rovr streamlines engineering operations by automating intake, triage, routing, and cross-team coordination. It replaces internal forms, manual Slack triage, and scattered docs with an AI front desk that understands requests, assigns owners, updates context, and posts status changes directly into Slack. Rovr’s built-in ops CRM gives teams a single system of record for eng requests — from tooling access to platform incidents to dev-infra workflows — reducing operational drag across the entire org.shared product terms: engineer, automat, context, give; shared product theme: context and memory, workflow automation; shared affiliation: Y Combinator](https://highsignal.app/case-studies/rovr)[### Light Anchor match 56Light Anchor (YC P26) builds AI-run consumer brands that run at the speed of compute. Consumer brands have always been limited by the speed of humans: hiring, coordinating, and sleeping. AI agents that now run operations end-to-end break all those constraints, making a new kind of consumer business possible: one capped by compute, not headcount. Today, Light Anchor operates one flagship brand and multiple experiment stores, all run by AI agents on a shared platform that compounds with every new shared extracted concepts: consumer brands; shared product terms: run, consumer, brand, human; same category: AI agents; shared affiliation: Y Combinator](https://highsignal.app/case-studies/light-anchor)[### Dot Team match 39Platform helping employees improve their financial wellbeing through a suite of automated optimizations and tools.shared extracted concepts: employees; shared product terms: employee, automat; shared affiliation: Techstars](https://highsignal.app/case-studies/dot-team)[### DataBiomes match 20Creating AI Agents that run locally on consumer CPU'sshared product terms: run, consumer; same category: AI agents; shared affiliation: Antler](https://highsignal.app/case-studies/databiomes)

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