Oscilar and Floowed both turn data into an automated decision, and they start from opposite ends of the problem. Oscilar starts with real-time signals: transactions, devices, behavior. Floowed starts with the loan file: payslips, bank statements, business registrations, IDs.
That difference decides which one fits. This comparison covers what each platform actually does, where they overlap, and the specific question that tells you which problem you have.
The short answer
Choose Oscilar if your risk surface is broad and your signals are transactional. It covers fraud, credit, onboarding and AML compliance on one platform, which is genuinely useful if all four sit with the same team.
Choose Floowed if your bottleneck is the paperwork. If approvals stall because someone is keying numbers off a photographed bank statement, the decisioning layer is not what is slowing you down. The document layer is.
What is Oscilar?
Oscilar is an agentic risk platform for financial institutions. It was founded by Neha Narkhede, co-creator of Apache Kafka and co-founder of Confluent, together with Sachin Kulkarni, formerly of Facebook. The company self-funded with $20M and took no outside capital, coming out of stealth in 2023.
The platform is built on what Oscilar calls a real-time data fabric, with 100+ integrations feeding a unified view of users and transactions. On top of that sit device and behavioral intelligence, including behavior biometrics, and a policy layer combining rules with an ensemble of supervised machine learning and unsupervised anomaly detection. Policies can be described in natural language, and the platform ships back-testing and A/B testing.
Public customers shown on their site include SoFi, MoneyGram, Nuvei, Super, Fluz and Balance. Portuguese and Spanish versions of the site point at a LatAm push. Pricing is sales-led and demo-only.
It is a serious platform, and the streaming lineage shows in the product. Real-time is genuinely in its DNA.
What is Floowed?
Floowed is a loan decisioning platform built as two products on one platform.
Document Intelligence reads and analyses any loan document at any quality into decision-ready data. Handwritten passbooks, photographed and scanned statements, skewed and low-DPI pages, mixed-language tax forms. It normalizes income, runs cash-flow and bank-statement analysis including average daily balance and DSCR, scores fraud and tampering signals, and cross-validates figures across documents.
The Decision Engine then runs your credit policy on that data, every application, every time, with the rules behind each call captured for audit. Credit and risk teams write the policy as explicit conditions and own it day to day. Floowed is score-agnostic: bring any bureau score, alt-data score or your own model and it is absorbed unchanged. We orchestrate, we do not compete with scoring vendors.
Where the two platforms differ
Ten dimensions that decide the choice, from what each platform treats as its primary signal to how fast you get a real price.
| Dimension | Oscilar | Floowed |
|---|---|---|
| Category | Agentic risk platform | Loan decisioning platform |
| Surface covered | Fraud, credit, onboarding, AML | Loan decisioning end to end |
| Primary signal | Transactions, device, behavioral | Borrower documents plus any score |
| Document intelligence | Not a native layer | Native, on any document quality |
| Bad-quality input | Not the design centre | The design centre |
| Policy authored by | Risk teams, natural language and no-code | Credit and risk teams, explicit conditions |
| Back-testing | Yes, plus A/B testing | Yes, replayed against your loan book |
| Scoring posture | Built-in ML ensemble | Score-agnostic, orchestrates any model |
| Pricing | Sales-led, demo only | Consumption-based, sized on one short call |
| Geography signal | US, LatAm push | Global, HQ Singapore |
Documents are the clearest difference
Oscilar's data fabric is built around transactions, devices and behavior. Those are excellent signals for fraud and for credit where the applicant already has a transactional footprint you can read directly.
They are not the signals a lender gets when a borrower walks in with a folder. A large share of lending worldwide still runs on documents the applicant supplies: payslips, six months of bank statements, a business permit, a tax return, an ID. Those arrive photographed on a phone, scanned at 200 dpi, handwritten, stamped, in more than one language, sometimes all in the same PDF.
Reading that surface accurately is a different engineering problem from streaming transactions, and it is the one Floowed was built for. We read and analyse the paperwork other tools choke on, then hand structured, decision-ready data to the policy layer.
If your applicants connect a bank account and you decide on the transaction feed, this difference does not matter much. If they upload a photo of a passbook, it is the whole difference.
Breadth against depth
Oscilar covers four risk surfaces on one platform. Floowed covers one, thoroughly.
Breadth is a real advantage and worth paying for when it matches your org. If the same team owns fraud, onboarding, credit and AML, and you would otherwise buy four tools, a unified platform reduces integration work and gives one place to see a user.
Depth wins when the lending workflow is the business. A loan decisioning platform is judged on whether the policy you wrote is the policy that ran, on data that was machine-read correctly from documents a spreadsheet cannot parse, with version history and an audit trail that reproduces any past decision. That is a narrower promise and a harder one.
Neither answer is universally right. The question is which of the two problems is costing you more this quarter.
When Oscilar is the better choice
We would point you at Oscilar in three situations.
Fraud is your dominant loss driver rather than credit risk, and you need device intelligence and behavior biometrics as first-class capabilities.
You need fraud, onboarding, credit and AML on one platform under one team, and consolidating vendors matters more than depth in any single one.
Your decisions run on transactional data that arrives through connected accounts and APIs rather than on borrower-supplied paperwork.
When Floowed is the better choice
Your applications arrive as documents, and document quality is uneven. This is the case for most lenders outside fully digital consumer flows, and it is where we are strongest.
Credit and risk teams need to own the policy and ship changes without filing an engineering ticket, with the rules behind every approve, decline and refer captured for audit.
You already have a score you trust, from a bureau, a partner or your own model, and you want a platform that orchestrates it rather than replacing it with its own.
You want a real price quickly and activation measured in weeks rather than quarters.
Running both
These platforms are not mutually exclusive. A workable shape is Oscilar covering fraud and AML on the transactional side while Floowed reads and analyses the loan file and runs credit policy on the result.
Floowed is score-agnostic and integrates by API, with 40+ integrations across bureaus, LMS platforms, KYC providers and banking data. Nothing about that posture makes a second risk platform a conflict.
Frequently asked questions
Is Oscilar a credit decisioning platform?
Credit decisioning is one of four surfaces Oscilar covers, alongside fraud, onboarding and AML compliance. It is a risk platform with a credit module rather than a lending-first product, which is a genuine advantage if you need all four in one place.
Does Oscilar read loan documents?
Document intelligence is not a native layer in Oscilar. Its data fabric is built around transactions, device signals and behavioral intelligence. If your decisions depend on payslips, bank statements and business registrations arriving as photos or scans, that gap matters.
Can you run Oscilar and Floowed together?
Yes. A common shape is Oscilar handling fraud and AML on the transactional side while Floowed reads and analyses the loan file and runs credit policy on the result. Floowed is score-agnostic and integrates by API, so the two do not collide.
Which is better for back-testing credit policy?
Both back-test. Oscilar ships back-testing and A/B testing on risk policies. Floowed replays a proposed policy against your historical loan book and its real outcomes before it goes live. This is parity rather than a differentiator, so judge it on the data each one replays.
How do the two compare on price?
Oscilar is sales-led with demo-only pricing, so a real number takes a sales cycle. Floowed prices on consumption and sizes it to your operation on one short call. If speed to a real number matters in your evaluation, that is a practical difference.
Who else should be on the shortlist?
If you are evaluating this category properly, Taktile and Provenir belong on the list alongside both of us. Our credit decision engine comparison covers ten platforms with the buyer fit for each.
Next step
The fastest way to tell which problem you have is to run your own files. If the documents are the bottleneck, you will see it in the first upload.
Book a demo and we will put your messiest loan documents through the platform, show the analysed output, and walk through how the Decision Engine turns it into a decision. To try it yourself first, start free.