TokoAI(51Toko) is a self-evolving AI team providing an AI find-suppliers service — the tech timeline below is the capability base behind our find-suppliers service for overseas buyers.

AI self-evolution: each round helps you do a bit more

Each round of improvement tackles one concrete matching scenario, and the system gets more accurate with every request it processes. The latest round is at the top.

V27 · 2026-10-07

Service tier restructure: the suppliers you can source from are no longer capped by our existing data pool

We've restructured how we sell: one main service (supplier sourcing, quoted per project) plus two value-added options that aren't sold standalone — data collection & enrichment, and interest assessment. Our sourcing engine is no longer limited by what's already in our existing data pool: if the market or category you need isn't there yet, we collect the real trade and exhibition records for it on your behalf, so you don't have to settle for a supplier base that doesn't cover your market or switch to someone else. Enrichment is also wired in: matched suppliers get their contact fields completed, so a matched supplier is one you can actually reach. The value to you is direct — the market you can source from is no longer capped by our data coverage.

V26 · Oct 1, 2026

AI direct connect is live: hand the guide page to your AI, connect to TokoAI with zero learning curve

AI direct connect is live — you don't need to learn any new tool or platform. Just send the collaboration guide page (/ai/) together with your needs to your AI assistant, and it collaborates with TokoAI's AI following the guide: submit requirements, match automatically, retrieve the report. Choose any of three channels: MCP access (after sign-up), email (ready now), or human-assisted (WhatsApp). The value to you is direct: it turns "AI find suppliers" from method into result — you say what kind of supplier you need, and the rest is handled by AI-to-AI collaboration; every deliverable is real and checkable.

V25 · Sep 1, 2026

One main service for buyers — find-suppliers — plus two value-added options

For overseas buyers, TokoAI runs one main service: tell us what you want to source, and we find, reach, and rank suppliers, delivering an interest report — quoted per project. Two value-added options sit alongside it and aren't sold standalone: data collection & enrichment (collecting records for markets or categories missing from our base, and completing contact fields for matched suppliers) and interest assessment. For Chinese suppliers wanting overseas buyers, those same two options are how we serve that side — you set your product direction and we bring the matching engine.

V24 (continued) · Aug 27, 2026

Existing data pool crosses 1.7M+ — 1.43M overseas, 278K China

Our existing data pool crossed 1,700,000+ companies — 1,426,732 overseas and 278,481 China-based — of which 1,043,952 are reachable (have a contact channel). For buyers this means a broad base of Chinese suppliers to match against: it draws on Canton Fair exhibitors, the Yiwu International Trade Cluster, customs import records, government procurement winners, and other public authoritative sources, each with a traceable public provenance. This is the existing base, not a fixed limit — if the market or category you need isn't in it yet, we collect and enrich it on demand.

V24 (continued) · Jul 31, 2026

Full contact enrichment across all sources

Completed a full round of contact enrichment across all data sources — turning suppliers that had only a name into contactable companies, and continuously ingesting new overseas sources such as Canton Fair and UK importers. Even if you only know one supplier name, we can enrich its contacts from scratch.

V24 · Jul 8, 2026

AI matching engine live: product-level supplier matching from real records

Our self-built AI matching engine went live. Enter what you want to source, and the engine does product-level matching against real trade and exhibition records to find Chinese suppliers that genuinely make your kind of product — not a broad net over the whole category. Matching precision keeps improving with use.

V23 (mid-late) · Jul 8, 2026

Diverse supplier sources onboarded

EU procurement-award companies, US/UK/Australia government procurement, and multiple global trade-show sources kept being ingested, covering a diverse supplier base from government awards to exhibitors. Every company carries email, industry classification, and award/exhibition info for buyers to search.

V23 · Jul 1, 2026

Feedback-driven learning

You tell us which suppliers or categories you actually want, and the system learns it. Your feedback becomes the system filtering capability directly — not tossed into a suggestion box.

V21 · Jun 24, 2026

Auto-select suppliers most relevant to you

From a vast supplier pool it auto-selects the companies most relevant to your needs, paired with the best-fitting profile version, ranked by relevance signals. You do not need to make the choices.

V22 · Jun 24, 2026

Built around what buyers actually need

We paused to ask what buyers actually need. When you treat a supplier as a partner rather than just another name on a list, everything changes.

V20 · Jun 18, 2026

Cross-verified supplier signals

Multiple viewpoints cross-verify the same supplier signal — we only advance when it is genuinely relevant. No wasted time on a misjudgment, and no real fit missed.

V19 · Jun 16, 2026

Behavior signal detection

Which suppliers you repeatedly view, save, or compare — the system identifies these behavior signals automatically, helping you spot the suppliers most worth a deeper look.

V18 · Jun 15, 2026

Filter suppliers by your needs

You say what kind of supplier you want; the system filters the right ones from global supply data — each with company name, contact, and background.

V17 · Jun 14, 2026

Fit over wording

What you care about is not whether a message is well written, but which supplier truly fits your needs. Now the data is right in front of you — which companies, what background.

V12–V16 · Early-Mid Jun, 2026

Multi-version supplier profiles

Same supplier, different emphasis for different buyers. The system keeps the profile versions that work and drops the rest — you do not write each description yourself.

V1–V11 · Late May-Early Jun, 2026

Reach suppliers that respond

Who to reach, when, with what angle, and what next step — contacting a supplier no longer sinks into the void. The system has already tested channels, timing, and outreach approaches so you do not have to.

The tech base: where self-evolution comes from

TokoAI did not appear from nowhere — it runs on the AI infrastructure our team has built since 2022. Here is the key R&D that powers 51toko (latest first).

2026.10

AINET Collab Page Spec v1.0 released openly

AINET evolves from "a protocol for AI-to-AI collaboration" into "a convention between services and every AI assistant on the web": a service provider publishes a Collab Page, and any AI assistant that reads it can run a collaboration on the provider's behalf — scope check, requirement collection, structured submission, expectation management, direction referral. Verified across 9 engines; 51toko.com/en/ai/ is the first commercial implementation. Every collaboration makes the next round sharper.

2026.05–06

TokoAI(51Toko) self-evolving company-matching system R&D

The tech accumulation lands in the "company-matching" scenario as the team's flagship product line.

2026.03–05

AINET Serve agent service

"Email AI to do the work, send at night and get results in the morning" — remotely controlled and unattended, first used for deep email-attachment processing, the same interaction paradigm as TokoAI's "email to reach companies".

2025.12–2026.05

Multi-agent framework (AINET, MIT-licensed)

Decentralized cross-device multi-agent protocol — the technical source of TokoAI's self-evolving core.

2025.08

AGENT TOOLS platform (20+ tools)

Modular, plug-and-play AI tools, plus a private-data smart database/knowledge base AIDB (RAG + multi-model coordination) — the engineering base for TokoAI's tool matrix.

2025.06–07

Intelligent CRM & sales system

Self-built sales system with multiple sales modes, auto-generated script library, and follow-up — the direct predecessor of TokoAI's "AI runs your outreach".

2025.03–06

Enterprise AI system delivery (AQL safety assessment)

Full AI SaaS productization with quantified delivery (10x+ measured efficiency gain), proving the "deliver by result" loop.

2024.11

Natural-language knowledge graph (Text2Graph)

Operating graph databases in natural language — the same relational-mining tech behind TokoAI's matching engine.

2024.08–10

Domain LLM fine-tuning & compression

Built text LLM Tulier-instruct (Qwen2-7B + LoRA + int8) and on-device multimodal LLM Safer-V (MiniCPM) — both beat their base models on their tasks, mastering the full stack from data construction to fine-tuning and quantization.

2024.05

Private deployment of open-source LLMs

Deployed Llama3/Qwen series and BGE embedding models on Alibaba Cloud, Huawei Cloud, and Tianyi Cloud — and consolidated it into a fully private deployment toolchain (ModelChain), the foundation for keeping client data in-domain and for delivery.

2022.06

The start of LLM R&D

Founded an LLM R&D studio and began the full-stack exploration from dataset construction to model fine-tuning and private deployment — the root of TokoAI's tech accumulation.

Frequently asked

How does the matching keep getting better?

The matching engine is improved continuously with every request we process — category mapping, signal classification, and verification are tuned from real outreach feedback, not from a fixed release schedule. The more requests we handle, the more accurately we can surface suppliers who fit yours.

What's the latest update?

Our reachable company pool keeps expanding — new trade-show, customs, and public-procurement sources are integrated and cross-checked, and more suppliers become reachable as enrichment continues. Current reach: 1.71M+ total, 1.04M+ (a 61.2% share), with 819K+ overseas and 224K+ China-based reachable.

Related: Meet the TokoAI team · Back to home

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