Solva
Key figures
$528 mln
Loans originated in Kazakhstan
$17 mln
Monthly origination
2 min
Approval time for new clients
2.2 mln
User applications processed in 3 years
100,000
Clients acquired monthly
Ourproducts
We design simple, hassle-free digital lending products that help small business owners free up their working capital – whether it’s to pay invoices, purchase stock, hire more staff or expand premises.
Revolving credit lines
Up to $20,000
Installment loans
Up to $30,000
for 1-5 years
Short-term working capital solutions.
Up to $5,000
for 120 days
Technology
We run our operations on a fully
proprietary software platform.
This gives us:
Control
We develop specific features and capabilities roadmaps based on our business objectives rather than third parties’ requirements.
Customization
We tailor all functions and features to our business needs and can promptly modify them should our priorities change.
Agility
We use agile approach to software development. This allows us to build, modify and maintain our platform at any time, ensuring prompt support and high-quality implementations.
Security
We are independent from third party vendors and can ensure that our platform is stable and uses the most up-to-date security protocols to protect our business and clients.
Science
We process large data arrays and use machine learning mechanisms and artificial intelligence.
Smart
scoring
Our narrow AI allows risk officers building, testing, and validating advanced credit scoring models.
AI Fraud
Prevention
The fraud-scoring engine analyzes data related to the applicant’s authenticity and detects atypical behavior or information anomalies by using biometrics like the time spent filling in the form.
Application
The Application Scoring engine, developed by using a combined stack of machine learning algorithms, compares the client’s application data with other available databases.
Marketing
The propensity scoring assigns the borrower a special score that evaluates his propensity to return to the service and, based on this, grants the customer a discount.
Collection
The Collection Scoring system services non-performing loans by evaluating the probability of receiving payments from borrowers. It enables us creating client segments, calculating strategy and activity efficiencies, as well as automating information exchange between the company and external parties.
Document recognition
We use general-purpose computer vision model for documents recognition. It is based on a set of several neural networks, each of them specializes in one type of an object to allow processing documents more accurately.
Client service automation
A self-learning chatbot interacts with users and provides them with information on our products, individual recommendations, and financial prudence.
Information is processed based on statistical matches covering a wide range of FAQs. Machine learning technology enables the chatbot’s number of answers to increase daily.
Our impact
Our impact
News
Leadership
Connect
with us
Visit our Kazakstan website solva.kz
2023, MFO OnlineKazFinance JSC, the License for microfinance activities No. 02.21.0004.M. issued on March 06, 2023