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AI agents

burnt

Food Supply Chain companies have been using legacy ERPs for decades. Everyone knows these are necessary evils that essentially run the business but take up a lot of operational capacity. They are not about to just rip and replace their existing system that runs their whole business with a system that takes years to implement. Imagine if they could implement AI that runs the ERP for them, in weeks? Burnt’s building an agentic OS for the Food Supply Chain with AI Agents for each department. Our AI

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #2929

Food Supply Chain companies have been using legacy ERPs for decades. Everyone knows these are necessary evils that essentially run the business but take up a lot of operational capacity. They are not about to just rip and replace their existing system that runs their whole business with a system that takes years to implement. Imagine if they could implement AI that runs the ERP for them, in weeks? Burnt’s building an agentic OS for the Food Supply Chain with AI Agents for each department. Our AI

source
generated read
High Signal interpretation

burnt 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
Food Supply ChainAIagentic OSbusiness
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 burnt

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.

Tailor

match 73

Tailor is the headless ERP that gives fast-growing retail brands a composable, API-first platform to run operations with speed, flexibility, and control. 🧱 Legacy ERP is too rigid: Systems like NetSuite and SAP take months (or years) to implement and break with every change. Tailor is modular, headless, and easy to adapt. 🧩 Point solutions don’t scale: Tools like inventory or order management software solve one problem, but can’t talk to each other or keep up with growth. 📊 Spreadsheets are e

shared product terms: legacy, run, but, take; shared affiliation: Y Combinator

Enjamb Labs

match 68

Enjamb runs the entire drug program for biopharma teams, from discovery to FDA approval. Pharma runs on decades of closed legacy systems like Benchling, Veeva, Medidata, and SAS, with no AI layer and no MCP to connect agents to them. So we built that connection layer in one platform. Our agents run on top of their existing systems and data, with no migration, and do the work across the whole program: clinical evidence, trial design, statistical programming, and regulatory submissions. In just 3

shared product terms: legacy, decade, run, just; same category: AI agents; shared affiliation: Y Combinator

Tiny

match 64

At Tiny, we’re building a new kind of ERP system for factories where AI agents automate repetitive workflows. Made for the four million factories still primarily relying on Excel. LLMs now unlock their troves of siloed unstructured data. We see a massive opportunity to build a compound startup and, beyond that, tap into network effects to unlock just-in-time manufacturing across entire supply chains.

shared extracted concept terms: supply, chain; shared product terms: supply, chain, just, system; same category: AI agents; shared affiliation: Y Combinator

Sekilo

match 63

Sekilo is building the AI powered halal protein supply chain for foodservice in Indonesia, starting with poultry. The middle downstream food ecosystem is highly fragmented, with SMEs, F&B chains, industrial buyers, and government kitchens relying on multiple vendors, leading to inconsistent quality, pricing, and fulfillment. Sekilo unifies this through an asset light operating layer that integrates procurement, processing, cold chain, and delivery into a single system, layering AI across negotia

shared extracted concept terms: food, supply, chain; shared product terms: food, supply, chain, system; shared affiliation: Y Combinator

Pollinate

match 56

Supply chains still run on spreadsheets and inboxes because ERPs are rigid and the data is messy. We're solving this problem by building an ontology where agents can operate and provide outcomes for our customers. We start with procurement, by automating three-way match: extracting supplier invoices from email and matching them to the correct PO and receipt across ERPs. Learn more at pollinate.tech

shared extracted concept terms: supply, chain; shared product terms: supply, chain, erps, run; same category: AI agents; shared affiliation: Y Combinator

Tint Biotech

match 16

The first natural food dyes that can replace artificial ones

shared product terms: food, replace