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TenderGPT

TenderGPT

TenderGPT is an electronic trading platform (ETP) for corporate procurement in Uzbekistan. Automates the entire tender cycle - from lot publication to contract signing - and connects suppliers through the TenderZone aggregator (a database of approximately 180,000 companies).

Information not available!

B2B
Pre SeedSaaS
Nukus street, 89, Tashkent, UzbekistanFounded 28.01.2025Pre Seed • $100,000Website
250
Users
$0
MRR $

Financial Overview

$1,000,000
Valuation
$1,000,000
Enterprise Value
$8,000
Revenue
$0
Last Round
N/A
Investment Date

About the startup

TenderGPT is a B2B platform for corporate procurement in Uzbekistan. The customer conducts competitions, reductions, and other procedures online: publishing the lot, automatically inviting suppliers from the TenderZone aggregator database, evaluating applications, up to contract signing and maintaining the registry. The head office receives real-time transparency and analytics on purchases across all divisions, while suppliers receive counterparty verification based on ratings and legal flags.

Problem

Large factories and banks in Uzbekistan buy in a decentralized way: each department has its own process, the head office can't see purchases in real time, sourcing and verifying suppliers takes too long, and paperwork slows down tenders and raises the risk of errors and abuse.

Solution

TenderGPT - ETP that automates procurement: digital procedures (competition, reduction, etc.), automatic invitation of suppliers from the TenderZone aggregator database (~180,000 companies), verification of counterparties by rating and legal flags, contract registry, and real-time analytics.

Business model

Commission on each transaction on TenderGPT (% of contract value, by customer tariff). Upsell of access to the TenderZone aggregator — all lots and tenders in Uzbekistan. In development: AI services subscription — automatic bid preparation and tender document analysis.

Target Market

Uzbekistan's corporate customers with a distributed procurement structure include large factories, manufacturing enterprises, banks, and holdings with several divisions and branches that require a transparent and fast B2B procurement system.

Why We Need Investment

Marketing & Sales
Product Development
Team Expansion

Meet the Team

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Contact Details

Website
info@tendergpt.uz
+998 90 988 50 04
Nukus street, 89, Tashkent, Uzbekistan

Achievements

A working product (not an MVP) is the tendergpt.uz electronic trading platform with a full procurement cycle: from publishing the lot and automatically inviting suppliers to evaluating applications, protocols, and contracts
a reduction (downward auction) has also been implemented. A contract has been signed with one of Uzbekistan's largest plants. The platform includes 2 active customers, 4 test customers, and several companies at the negotiation and contract signing stage. Our own database of 250 verified suppliers, plus access to the TenderZone aggregator (~180,000 companies) for automatically selecting participants for each lot. The product is created by a team with expertise in procurement and development, not by a single founder.
3
Employees
$100,000
Investment Needed
1,850
Monthly Visits
РУ
Рустам Ахунов
CEO
LinkedIn
КО
Комол Ниязов
Advisor
LinkedIn
МА
Марат Абидов
Product Manager
LinkedIn
ШО
Шоислом Эргашев
Head of Sales
LinkedIn
ALPHACON
ALPHACON

Alphacon is a digital B2B ecosystem connecting MSMEs, banks, fintech companies, and business service providers. Entrepreneurs gain one-stop access to financial and non-financial services with single-point data and document collection. The platform also automates sales, agent network management, KPI tracking, geolocation, and reporting, creating a unified digital interaction channel between businesses and service providers.

SeedSaaS
VERIDISS
VERIDISS

VERIDISS consists of five modules: technical supervision according to SAC rules, goal-task-conclusion logic, balance of citations and sources, statistical methodology, and trilingual reporting. Each deficiency is linked to a normative clause with a page and paragraph; the review takes 15 minutes. In 2025, there were 5,707 protections; From January 1, 2027, according to Decree UP-98, responsibility for quality is transferred to academic councils.

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