Evatech
Independent risk technology firm operating since 2010, whose central product ECOLO scores the credit risk of small and medium businesses from real operational business metrics rather than from financial statements. The company states it uses proprietary machine learning models to quantify tangible business metrics and derive the true revenue and profit of a business, and positions the result as approving small business loans in seconds with no financials required. It describes itself as having spent its first six years exclusively on market analysis, product development and building the underlying competencies before selling.
A second line, YMIX, is a consulting engagement rather than software: mathematical and logical reengineering of the calculations behind retail banking products, aimed at finding operational leakage so a bank earns marginally more per transaction. A third strand is published analytics, including a Small and Medium Enterprise Pulse index tracking the development of that segment across national economies, and research on the shadow economy. A borrower facing lending platform under the ECOLOplace name is described as in development.
Named clients on its own site are predominantly banks across Central and Eastern Europe and Central Asia, including Intesa, OTP Bank, Societe Generale, UniCredit, Jusan, Hamkor and Fast Bank. Aggregate figures published are more than 100 percent return on investment per project, under 1 percent non performing loans on unsecured small business lending, more than 50 projects worldwide and $830 million of additional income for customers, none of them attached to a named institution. Appears on the Chartis Credit Lending Operations 2026 roster and the Chartis Credit Risk Management 2025 roster.
Capability Axes
Capability grades
15 of 15 axes rated · 3 graded A or B
Revenue and profit for a small business are inferred from operational metrics by proprietary models instead of read from its financial statements, so without the models the software has nothing to work on.
Loans approved in seconds with no financials is the headline promise, and nothing says whether a credit officer sees the result or whether an automated decline ever reaches a person.
Under 1 percent non performing loans on unsecured small business lending is the right kind of figure, but it comes with no institution, portfolio size or observation period, and no validation or backtesting is published.
Eight banks appear as clients, three large European groups among them, and aggregate figures such as $830 million of added client income sit beside them with no bank attached to any figure.
The method learns how business activity relates to real turnover across many borrowers, and whether one bank's loan outcomes improve the model another bank buys is neither claimed nor denied.
A profile of a small firm's real turnover, built without the firm submitting it, is sensitive, and nothing says where the underlying data comes from, how long it's kept or whether the business learns it was scored.
Security goes entirely unaddressed on the site, with no certification, trust portal or account of encryption.
As a software supplier to licensed lenders, Evatech claims no license, though a borrower facing lending platform is described as in development.
Estimating revenue from operational proxies, in markets where the vendor's own research points to a large shadow economy, invites proxy discrimination by sector, location or informality, and the site shows no fairness testing.
A business declined on a revenue estimate it never supplied can't see the figure or correct the inputs behind it, and since no financial statements are needed, offering its own accounts isn't part of the process.
Proprietary machine learning is the only description, with no data provider, cloud host or partner named at any point.
Neither end of the integration is described: how operational metrics get in, or how a decision returns to an origination system.
Hosting, residency and even a company address are missing from the site, so a bank can't tell which jurisdiction would process its borrower data.
Every route leads to a demo request or contact form, and the one commercial claim, a return above 100 percent per project, describes value rather than cost.
Clients range from UniCredit and OTP Bank to regional lenders across Central and Eastern Europe and Central Asia, but the product is a single scoring tool for small business lending.
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Pricing
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