AI SOLUTIONS FOR INSTANT FINANCING

Scalable SMB financing,
finally proven profitable.

Talaty reads bank statements the way a thirty-year credit veteran would — 30,000 signals per file, a decision in 3 seconds, and a written reason for every yes and every no.

TALATY ENGINE — FILE 01/06
——
—/ 1000
0.00 s
Income regularity
Cashflow stability
Overdraft headroom
Payment discipline
    good signal risk signal synthetic businesses · real engine behavior

    THE PROBLEM

    SME lending isn’t broken because SMEs are risky.
    It’s broken because no human can read every file at a price that works.

    SMBs are most of the economy — and banks avoid the segment. Not for lack of data: a small-business file is 200 pages of bank statements, and a human analyst reading them costs more than the loan earns. So the market prices risk it never measured.

    0%

    cost-to-income ratio on SME lending in emerging-market banks — vs ~45% in mature markets.

    0

    average time-to-cash. Fragmented workflows, manual checks, photocopies of photocopies.

    0%

    default rates on SME portfolios underwritten without behavioral scoring.

    $0B

    of unregulated inter-company credit every year — a third of GDP running on IOUs.

    Less than 10% of young SMBs can secure debt financing. The rest run on supplier credit, family money and hope. Hope is not a risk model.

    RECEIPTS

    Real impact. Real numbers.

    Live in production with tier-1 financial institutions since November 2024.

    $0

    disbursed through partner lenders

    ×0

    partner loan production — doubled, and counting

    0

    default rate — backtested & stability-checked

    0

    response time, statement in — decision out

    0

    additional net banking income per $100M of production

    0

    client churn. Zero. We like round numbers too.

    THE ENGINE

    From paper to verdict in four moves.

    Plus a fifth that never sleeps.

    1. 01 · SCAN

      Document digitization

      Bank statements and financial documents digitized with deep-AI OCR. Any statement format parsed at 90%+ accuracy — scans, photos, faxes from 1997. Bring it.

    2. 02 · STRUCTURE

      Cashflow reconstruction

      Transactions extracted, cleaned, and rebuilt into standardized financial data. Every dollar gets a name, a date and a job.

    3. 03 · ANALYZE

      Signal detection

      The engine hunts patterns: income stability, liquidity stress, spending discipline, growth signals. 30,000 data points per file — including the words.

    4. 04 · SCORE

      Explainable decision

      Probability of default, segmentation, and a decision in seconds — with reason codes your risk committee and your regulator can actually read.

    5. 05 · MONITOR

      Underwriting never sleeps

      Post-disbursement, the engine keeps reading: repayment signals, cashflow deterioration, early-warning alerts — before the default reaches your P&L.

    THE DIFFERENCE

    Ability says you can.
    Willingness says you will.

    Two businesses. Same revenue, same sector, same cashflow — the statements look identical, except for how each one pays the people it owes. After credit, one repays. The other doesn’t. Classic scores can’t tell them apart. Ours can.

    Ability-to-pay

    • Automated cashflow analysis
    • Real-time financial ratios
    • Bias-free decisions

    Willingness-to-pay

    • Payment patterns
    • Behavioral insights
    • 30k+ signals, including large-text processing

    WHAT WE SELL

    Two ways to plug the engine into your money.

    GTM 01

    Scoring-as-a-Service

    Your credit products, our brain. Real-time behavioral & financial scoring, portfolio risk assessment, API-based decisioning — custom models per institution, live with tier-1 lenders.

    // one integration, then per-decision pricing
    POST /v1/score
    { "statements": ["stmt_2026_q2.pdf"], "segment": "sme" }
    
    // 2.9 seconds later
    { "score": 762, "pd_12m": 0.031,
      "verdict": "APPROVED",
      "reasons": ["income_regularity:high",
                  "direct_debit_rejections:none_90d"] }
    • Adaptable to any SME or consumer segment
    • Runs inside your infrastructure, dockerized
    • Proof of value on your own data first
    GTM 02

    Lending-as-a-Service

    A short-term working-capital credit product, co-built with your bank. Talaty operates the scoring and the product logic; you distribute and fund. Your brand in front, our engine behind.

    • Short-term 30–120 days
    • Instant decision in seconds
    • Daily interest pay only for the days used
    • Working capital stock, receivables, seasonality
    • 01 Sign up & verify — onboarding and KYC/KYB in minutes
    • 02 Share financial data — connect accounts or upload statements
    • 03 Receive offer — AI-powered decision, transparent terms
    • 04 Repay flexibly — aligned with the business’s cashflow
    • Revenue-sharing — incentives aligned by construction
    • Underwriting + risk management, end to end
    • Embedded-finance distribution ready

    THE LANDSCAPE

    Four ways to underwrite an SME.
    Only one reads.

    HIGHRISK CONTROLLOW
    HIGH CONTROL · LOW EFFICIENCY

    Individual human review

    An analyst reads each file, one by one. The judgment is real — the throughput is whatever one person can read.

    HIGH CONTROL · HIGH EFFICIENCY
    Talaty

    Talaty

    The machine reads every line of every statement, with an analyst’s judgment and the speed of automation. Explainable, on every file.

    LOW CONTROL · LOW EFFICIENCY

    Subsidized spray & pray

    Lend broadly, analyze little, and let guarantees and subsidies absorb the losses. Works until the subsidy stops.

    LOW CONTROL · HIGH EFFICIENCY

    Semi-automated, rules-based

    Thresholds and checklists decide fast. The statement itself is never read — behavior stays invisible.

    LOWCOST EFFICIENCYHIGH

    FAQ

    You will ask. We already answered.

    What do you need from us to start?

    For the proof of value: historical files with known outcomes, so we can demonstrate lift on your book, not on slides. At run-time: bank statements (PDF or scans) and whatever financial documents your process already collects. No new data collection required.

    How long before we’re in production?

    Proof of value on your own data in ~6 weeks. Integration ~3 weeks, testing ~3 weeks, deployment ~2. First conversation to production in about one quarter — most of it is your committees, not our code.

    Is the score explainable, or is it a black box?

    Every decision ships with reason codes and full decision traceability. Your risk committee can read them, your regulator can audit them, and your relationship manager can repeat them to the client without sweating.

    Where does our data live?

    Deployments are scripted and dockerized to run inside your infrastructure. High-IP models stay in ours. All communication is API-based, and the design is aligned with CNDP data-protection requirements.

    Our segment is unusual. Can the engine adapt?

    Custom models per institution are the default, not the exception. Merchants, micro-businesses, non-salaried individuals, consumer credit — if it produces a bank statement, the engine can learn to read it.

    What documents can the OCR actually digest?

    Any bank-statement format at 90%+ field accuracy, plus invoices and standard financial documents. Native PDFs, scans, phone photos. If a human can squint at it, the machine can read it.

    How is this different from a bureau score?

    A bureau tells you what someone did with credit they already had. Talaty reads what they do with money — income stability, spending discipline, payment behavior — so you can underwrite the 90% of businesses that have no credit history at all.

    What does it cost?

    Scoring-as-a-Service: one-time integration, then usage-based pricing per decision. Lending-as-a-Service: revenue sharing plus cost coverage. Both are value-based and sized on your proof-of-value results — we only propose numbers after the engine proves its lift on your data.

    VISITOR UNDERWRITING COMPLETE scroll behavior: excellent · curiosity: high · risk of not booking a meeting: rising

    Your statements already know who will repay.
    Let the machine read them. Book a meeting.

    One quarter from first call to production. Bring a hard file — the machine likes a challenge.

    partners@talatypay.com