zypl.ai
- Company typePrivate
- Founded2020
- HeadquartersDushanbe, Tajikistan
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
zypl.ai firmographics
Firmographics- Name
- zypl.ai
- Legal name
- zypl ai
- Website
- https://zypl.ai
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
zypl.ai industry classification
Industry- Product category
- AI Software for Financial Services
- NAICS
- Software Publishers (5132), Software Publishers (51321)
- SIC
- Services-Computer Programming Services (7371)
- akta.pro primary industry
- Synthetic Data & Data Augmentation for Foundation Models (HDAAACAK)
- akta.pro secondary industry
- Alternative Data & Credit Scoring (Cashflow, Telco, Utility, Open Banking) (FSAGAHAC)
Keywords
Where zypl.ai is headquartered
LocationHeadquarters
- HQ city
- Dushanbe
- HQ country
- Tajikistan
- HQ region
- Asia
Offices3 records
Markets served
zypl.ai business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- SaaS Platform Subscriptions: zypl.ai operates as a SaaS AI platform for financial institutions, offering its Lucid no-code AI platform, zGAN synthetic data engine, zScore credit scoring, and zadmin loan origination CRM on a subscription basis. Financial institutions pay to access and deploy AI models through the platform.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise SaaS – pricing available upon request |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels5 records
zypl.ai product offering
Product offeringCore offering
zypl.ai builds and sells a no-code synthetic-data AI platform for financial institutions. Its flagship product Lucid uses the proprietary zGAN generative adversarial network to generate high-quality synthetic data from limited or incomplete datasets, enabling banks, microfinance institutions, and fintechs to build and deploy credit scoring, fraud detection, collections, and IFRS-9/GAAP provisioning models without in-house AI engineering. Companion offerings include zScore (credit decisioning SaaS), zadmin (loan origination CRM), and 1ziyo (a joint-venture payment product with UZCard in Uzbekistan).
Product overview
zypl.ai offers a unified platform-plus-modules architecture centered on synthetic AI for financial services. The core platform is Lucid, a no-code AI development environment that integrates zGAN (proprietary synthetic data generator) for privacy-safe data augmentation. Built on this stack are zScore (credit scoring SaaS), zadmin (loan origination CRM), and 1ziyo (UZCard joint venture). The platform enables financial institutions to build, deploy, and monitor ML models without coding expertise, with deployment via secure API interfaces.
Differentiator
Problem solved
Functional benefit
Brands
- Lucid: No-code AI platform for developing and deploying scoring models using zGAN synthetic data generator
- zGAN
- zScore
- zadmin
Products and services
- Lucid No-code AI platform that uses zypl's proprietary zGAN synthetic data generator to develop and deploy robust credit scoring and risk models. Provides automated data preprocessing, optimized ML pipelines, real-time model monitoring, and API-based deployment. Built for banks, MFIs, and fintechs that lack in-house AI engineering resources.
- zScore Credit decisioning SaaS powered by zGAN technology that improves accuracy of default risk (PD) predictions, achieves significant Gini uplift, and supports IFRS-9 and GAAP provisioning models. Deployed across 60+ financial institutions in 20 markets.
- zadmin CRM for loan origination offered as part of zypl.ai's product suite, enabling financial institutions to manage loan origination workflows.
- 1ziyo Joint-venture product with UZCard that integrates zypl.ai's AI capabilities with Uzbekistan's national card payment infrastructure.
Quantifiable outcome
- PAR90% < 1% achieved for portfolio underwritten using zypl's models
- +3 more outcomes
Companies that use zypl.ai
Customer profileNamed customers4 records
Segments2 records
Ideal customer profiles2 records
zypl.ai technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability6 records
Feature4 records
zypl.ai partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered flagship, core and minor.
- Cognition AIflagshipStrategic go-to-market partnership combining Cognition's Devin and Windsurf autonomous engineering platforms with zypl's Lucid AI development environment and zGAN synthetic data generator. Enables financial institutions in MENA and Central Asia to accelerate AI deployment from quarters to weeks while maintaining data privacy and regulatory compliance. Focus areas include core banking modernization, regulatory-driven code changes, security automation, and CI/CD modernization.
- Inception (G42 Company)flagshipTripartite MoU with Tajikistan's Ministry of Industry and New Technologies and Inception (G42) under Tajikistan's AI-GOV initiative. Inception provides applied AI solutions (analytics, decisioning, automation) while zypl.ai acts as strategic AI partner through its Lucid platform, zGAN, and affiliate epsilon3.ai. Supports implementation of Tajikistan's National AI Strategy 2040. Signed at Area AI 1.0 launch in Dushanbe.
- Tajikistan Ministry of Industry and New TechnologiesflagshipStrategic MoU signed at Area AI 1.0 launch to advance AI solutions across public administration in Tajikistan under the AI-GOV initiative. Zypl serves as a strategic AI partner alongside Inception (G42) and the Artificial Intelligence Council under the Ministry.
- UZCardcore1ziyo is a joint venture with UZCard (Uzbekistan's national payment system) in Uzbekistan. This partnership enables zypl.ai to integrate its AI solutions with Uzbekistan's national card infrastructure.
- Presight AI-Startup AcceleratorminorSelected as one of 10 winners among 120 applications from 17 countries in Presight's inaugural AI-Startup Accelerator program. Winners join a bootcamp in Abu Dhabi with technical mentoring, market access, product refinement, and investment readiness support.
Scale indicators10 records
Recent moves9 records
Expansion highlights6 records
zypl.ai competitors and assessment
Company assessmentDirect peers
- Upstart: Upstart is an AI lending platform that uses machine learning on alternative data for credit decisioning. Like zypl.ai, it sells AI-driven credit risk models to banks and lenders, but focuses primarily on US consumer credit rather than emerging/frontier markets.
- Zest AI: Zest AI builds AI-based credit underwriting software for lenders, focused on model fairness, explainability, and accuracy improvements. It is a direct competitor to zypl.ai's zScore product for banks seeking ML-driven credit decisioning, though Zest primarily serves US credit unions and banks.
- Provenir: Provenir offers an AI-powered risk decisioning platform for fintechs and banks, covering onboarding, fraud, and credit decisions. Comparable to zypl.ai's Lucid + zScore stack for financial institutions adopting no-code AI risk workflows.
- Scienaptic AI: Scienaptic AI provides an AI-driven credit underwriting platform used by lenders and financial institutions. Directly comparable to zypl.ai's no-code AI credit decisioning proposition for banks and credit unions.
- CredoLab: CredoLab uses alternative mobile, behavioral, and transactional data for credit scoring, especially in emerging markets across SEA, Africa, and LATAM. Closely comparable to zypl.ai's focus on AI scoring in data-scarce emerging-market banking segments.
- LenddoEFL: LenddoEFL (now part of credolab-style alternative scoring) uses non-traditional data for credit scoring in emerging markets. Direct overlap with zypl.ai's mission to enable financial inclusion via AI-driven risk models in data-thin markets.
- Mostly AI: Mostly AI is a synthetic data generation platform with finance use cases. It is the closest technology analog to zypl.ai's zGAN, although Mostly AI focuses on general enterprise data privacy rather than the financial-inclusion / emerging-market niche.
Broad incumbents
- DataRobot: DataRobot is an established enterprise AI/ML platform with credit risk and financial-services use cases. A broader incumbent compared to zypl.ai's specialized fintech stack; financial institutions evaluating Lucid may also consider DataRobot's automated ML platform.
- H2O.ai: H2O.ai provides an enterprise AI platform used by banks for credit scoring, fraud detection, and risk modeling. Comparable as a broad AI platform competing for the same bank AI budgets as zypl.ai's Lucid offering.
Emerging players
- Feedzai: Feedzai is an AI platform for fraud and financial crime detection used by global banks. Overlaps with zypl.ai's fraud detection use case powered by zGAN synthetic data, but Feedzai is focused on anti-money laundering and transaction fraud rather than credit underwriting.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
zypl.ai social profiles
Digital presencezypl.ai financial estimates
Financial estimateRevenue estimate
Valuation estimate
zypl.ai leadership team
Management profileNumber of profiles
Profiles6 records
zypl.ai subsidiaries and ownership
Company hierarchySubsidiaries1 record
zypl.ai funding detail
Funding detailFunding overview
Funding rounds7 records
Investors12 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
zypl.ai M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about zypl.ai
What does zypl.ai do?
zypl.ai builds and sells a no-code synthetic-data AI platform for financial institutions. Its flagship product Lucid uses the proprietary zGAN generative adversarial network to generate high-quality synthetic data from limited or incomplete datasets, enabling banks, microfinance institutions, and fintechs to build and deploy credit scoring, fraud detection, collections, and IFRS-9/GAAP provisioning models without in-house AI engineering. Companion offerings include zScore (credit decisioning SaaS), zadmin (loan origination CRM), and 1ziyo (a joint-venture payment product with UZCard in Uzbekistan).
Is zypl.ai a public or private company?
zypl.ai is a private company. It is classified as venture growth investor backed and is currently operating.
When was zypl.ai founded?
zypl.ai was founded in 2020. It employs 11 to 50 people.
Where is zypl.ai based?
zypl.ai is headquartered in Dushanbe, Tajikistan, in the Asia region.
How does zypl.ai make money?
One revenue line is on record: saaS Platform Subscriptions.
Who are zypl.ai's main competitors?
Direct peers on record are Upstart, Zest AI, Provenir, Scienaptic AI, CredoLab, LenddoEFL and Mostly AI. Broad incumbents are DataRobot and H2O.ai. Feedzai is listed as an emerging player.
Does zypl.ai have an API?
No public API is recorded for zypl.ai.
What industry is zypl.ai in?
zypl.ai's product category is AI Software for Financial Services. Its primary akta.pro industry code is HDAAACAK, Synthetic Data & Data Augmentation for Foundation Models, with a secondary code of FSAGAHAC, Alternative Data & Credit Scoring (Cashflow, Telco, Utility, Open Banking). Its NAICS code is 5132 and its SIC code is 7371.