Public

Dartit.ai is a B2B sourcing marketplace, collaboration, and execution platform built for food, pharma, chemicals, and other evidence-heavy supply chains. It gives manufacturers, distributors, buyers, and sourcing teams a shared digital space to showcase supply, publish sourcing needs, connect with relevant counterparties, and execute sourcing workflows with greater speed, clarity, and confidence.

Designed for complex sourcing environments, Dartit.ai transforms fragmented technical documents, supplier information, and disconnected communication into one structured, evidence-backed workspace. By applying structural knowledge to materials such as specifications, SDS/MSDS, CoA, and certificates, the platform helps customers identify fit faster, reduce manual evaluation, and improve coordination across internal teams and external partners.

Dartit.ai addresses a common pain in food and pharma sourcing: too much time is lost reviewing documents manually, copying information between systems, and managing fragmented conversations across email, chat, calls, and portals. Dartit.ai brings these workflows together in one environment where evidence, matching, and collaboration support faster and more confident commercial decisions.

Rather than replacing existing systems, Dartit.ai works as a shared execution layer across sourcing workflows, helping organizations accelerate deal cycles, improve evidence reuse, and support stronger buyer-seller collaboration in regulated and technically demanding environments.

Key benefits / capabilities

Connect buyers and sellers in one marketplace environment

Create a structured space where manufacturers, distributors, buyers, and sourcing teams can present supply, publish demand, and engage with relevant counterparties.

Match supply and demand with greater precision

Use evidence-backed matching to evaluate fit and gaps across requirements, listings, and available technical materials before long commercial back-and-forth begins.

Structure technical documents into usable sourcing knowledge

Extract and normalize facts from specifications, SDS/MSDS, CoA, certificates, and related files while preserving provenance.

Centralize collaboration across sourcing workflows

Replace fragmented conversations with a shared context for internal teams, suppliers, buyers, and other participants involved in the sourcing process.

Reduce manual work and accelerate execution

Help teams move from manual evaluation and slow offer assembly toward faster sourcing decisions and shorter deal cycles.

Work with existing enterprise systems

Connect files, repositories, and enterprise tools without forcing customers to replace their current systems.