NVIDIA Inception 2026 Agentic AI · NeMo + LangGraph orchestration
⊕ Agentic AI · Multi-LLM orchestration · 50+ markets

Six weeks
of sourcing
in six seconds.

Multi-agent orchestration replacing 6–8 weeks of manual textile sourcing with seconds of inference. Built on retrieval-augmented LLM pipelines tuned to textile trade vocabulary, certifications, and compliance across 50+ global markets.

Sourcing is the slowest layer of the textile supply chain.

Procuring a single SKU from a new market — quotes, certifications, MOQs, lead times, factory audits, compliance docs — takes 6–8 weeks of manual outreach. The cost is borne by buyers and absorbed silently by margins.

Today · manual
6–8 weeks
Outreach to 40+ suppliers across WhatsApp, email, Alibaba. Quotes parsed by hand. Compliance docs verified one by one. Lead times negotiated on the phone. Most enquiries never reply.
SourceIQ · agentic
~6 seconds
One query — natural language or structured spec. Multi-agent pipeline: search → quote → validate → rank. Results in seconds, with certification, MOQ, lead-time, and reputation scoring baked in.

A coordinated pipeline, not a single LLM.

Each agent is responsible for a narrow job — retrieval, normalisation, validation, ranking. Orchestrated by LangGraph on NVIDIA NeMo, with per-domain vector indexes tuned to textile trade vocabulary.

🔎
retrieval-agent
Source discovery
Searches indexed supplier corpora (trade directories, market reports, WhatsApp + email archives) for candidates matching the spec.
📑
extraction-agent
Quote + spec normaliser
Parses heterogeneous supplier outputs — PDF quotes, WhatsApp screenshots, Excel — into a normalised SKU + MOQ + lead-time schema.
compliance-agent
Certification + audit checker
Validates GOTS, OEKO-TEX, BCI, SLCP, REACH, and ZDHC certificates. Cross-checks dates, scopes, and audit history.
⚖️
ranking-agent
Multi-criteria scorer
Ranks shortlisted suppliers across price, lead time, MOQ fit, compliance depth, reputation score, and historical buyer outcomes.
💬
outreach-agent
First-touch + follow-up
Drafts vendor-language-aware first-touch outreach (Urdu, Mandarin, Turkish, Bahasa). Tracks reply rate and triggers follow-up.
📊
summary-agent
Buyer-ready brief
Compiles a one-page sourcing brief: top 5 suppliers, normalised quote table, compliance status, and recommended next action.

NeMo for the LLMs. Triton for the serving. NIM for the customers.

Agentic AI is bottlenecked on cheap, fast, domain-tuned inference. Every layer is NVIDIA-native: NeMo for textile-domain fine-tuning, TensorRT-LLM for sub-second response, Triton for concurrent multi-agent serving, NIM for sovereign enterprise deployments.

LangGraphOrchestration
NVIDIA NeMoCustom fine-tune
TensorRT-LLMInference accel
NVIDIA TritonMulti-model serving
Vector DB (Vectorize / pgvector)RAG index
Multi-LLM routingCost + quality split
NVIDIA NIM microservicesEnterprise on-prem
DGX Cloud (Innovation Lab)Fine-tune sprints

Founder-led distribution across 10+ textile-source markets.

Ten years of active supplier relationships across the global textile supply chain. This network is the moat — every market below has a curated, verified supplier base feeding SourceIQ's retrieval index.

🇵🇰
Pakistan
Cotton + denim
🇧🇩
Bangladesh
Knitwear + garment
🇹🇷
Turkey
Wovens + denim
🇨🇳
China
Fabric + accessories
🇮🇳
India
Cotton + home textile
🇻🇳
Vietnam
Synthetics + sportswear
🇮🇩
Indonesia
Rayon + viscose
🇪🇬
Egypt
Long-staple cotton
🇲🇽
Mexico
Near-shoring · USMCA
🇵🇹
Portugal
EU near-shoring
🇲🇦
Morocco
Fast-fashion EU near-shore
🇪🇹
Ethiopia
Emerging garment hub

Q3 2026 alpha: 10 design partners across global textile hubs.

We are taking on a limited cohort of design partners for the Q3 2026 SourceIQ alpha. If you are a brand, sourcing house, or buyer who currently spends weeks per SKU on supplier outreach — email the founder.