Slesh provides custom, real‑world training data for AI models by scoping, collecting, verifying, and delivering datasets through a direct network of contributors and partner workplaces across Southeast Asia. Their end‑to‑end pipeline ensures every sample is verified at capture against client‑specified QA rules, delivering structured, consent‑recorded data in days rather than weeks, with full provenance and no middlemen.
Funding
Funding not disclosed
Founders
Product
Problem
AI model training requires large volumes of high-quality, annotated real-world data that accurately reflects target environments, but acquiring such data is time‑consuming, costly, and often lacks clear provenance or compliance with regional regulations.
Solution
Slesh operates a verified contributor network across Southeast Asia to source, annotate, and deliver custom real-world data for AI training within days. Clients submit a brief specifying modality, scenario, and quality‑assurance rules; Slesh then mobilizes the work to vetted contributors and partner workplaces. Every data sample is verified at the point of capture against the client’s QA rules, ensuring full compliance, consent, and provenance. The collected data is returned in a structured, training‑ready format with complete consent records, eliminating the need for intermediaries and reducing turnaround time from weeks to days. By managing the entire pipeline—from brief to delivery—Slesh provides a transparent, end‑to‑end solution for building high‑quality datasets at scale.
Target Audience
Primary customers are AI developers, robotics companies, and enterprises that need custom, high‑quality training data for computer vision, sensor fusion, or other machine‑learning models, particularly those targeting Asian markets or requiring strict data provenance.
Features
- Direct recruitment, verification, and payment of contributors, removing middlemen and providing full traceability of data sources
- Region‑specific compliance built into the workflow, with consent and provenance records per jurisdiction
- End‑to‑end pipeline (brief, mobilize, verify, deliver) that guarantees every sample meets client‑defined QA rules
- Rapid turnaround: custom datasets delivered in days rather than weeks
- Structured, training‑ready data packages with metadata, annotations, and consent documentation
- Scalable network of thousands of contributors across Southeast Asia, enabling access to diverse environments and scenarios