D-Risk
- Company typePrivate
- Founded2017
- HeadquartersSingapore, Singapore
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
D-Risk firmographics
Firmographics- Name
- D-Risk
- Website
- https://d-risk.tech
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Ownership category
- akta.pro rank
D-Risk industry classification
Industry- Product category
- Risk Analytics Software
- NAICS
- Other Computer Related Services (541519), Other Scientific and Technical Consulting Services (541690)
- SIC
- Investment Advice (6282), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Model Risk Management (MRM) & Validation (FSAFAOAI)
- akta.pro secondary industry
- Risk Scoring, Decisioning & Orchestration (FSAMALAB)
Keywords
Where D-Risk is headquartered
LocationHeadquarters
- HQ city
- Singapore
- HQ country
- Singapore
- HQ region
- Asia
Markets served
D-Risk business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
D-Risk product offering
Product offeringCore offering
D-Risk provides machine-based risk rating services, replacing traditional analyst-driven rating processes with automated, data-driven assessment tools. The company focuses on transforming how risk evaluations are conducted by leveraging computational methods rather than manual analyst judgment.
Differentiator
Problem solved
Functional benefit
Products and services
- Machine-Based Risk Rating Platform
Companies that use D-Risk
Customer profileIdeal customer profiles1 record
D-Risk technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
D-Risk partnerships and signals
Strategic signalRecent moves2 records
Expansion highlights2 records
D-Risk competitors and assessment
Company assessmentDirect peers
- Upstart: Upstart applies machine-learning models to credit underwriting and risk scoring, replacing traditional analyst-based review with model-driven decisions. Directly comparable to D-Risk's machine-based rating thesis in credit/risk.
- Zest AI: Zest AI builds machine-learning credit underwriting and risk-scoring software for lenders, automating ratings historically done by analysts. Its targeting of regulated FI customers closely maps to D-Risk's value proposition.
- Provenir: Provenir offers a risk-decisioning and analytics platform that uses data and AI to score applicants in financial services, directly competing in automated risk rating and decision orchestration.
- ACTICO: ACTICO provides a decisioning platform with model-driven credit and fraud risk scoring capabilities for banks and insurers — a same-category automated rating/rules platform.
Broad incumbents
- Moody's Analytics: Moody's is a global incumbent rating and risk analytics provider with extensive model-based credit and counterparty risk offerings; it competes with D-Risk for ML-driven rating work but serves a much broader portfolio.
- S&P Global Ratings: S&P Global Ratings is a leading credit rating agency investing in quantitative and AI-driven methodology, making it an incumbent competitor to a machine-based rating startup like D-Risk.
Emerging players
- Turnkey Lender: Turnkey Lender offers an AI-driven lending decisioning and risk-scoring platform for alternative and traditional lenders — comparable in product and target market to D-Risk.
- DataRobot: DataRobot provides automated machine-learning tooling used by financial institutions to build and validate risk and rating models — adjacent technology enabling similar machine-based rating outcomes.
- Affirm: Affirm uses proprietary risk models rather than traditional credit scoring for consumer loan underwriting, exemplifying an applied machine-based rating approach in fintech.
Others
- Moody's Risk and Compliance Solutions (Orbit): Anthem, OpenGI, or similar enterprise rating/risk platforms overlapping with D-Risk's sandbox; they are enabling vendors that financial-services firms use to operationalise risk and counterparty ratings.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat2 records
Key risks5 records
Key highlights4 records
Customer concentration
D-Risk social profiles
Digital presenceD-Risk financial estimates
Financial estimateRevenue estimate
Valuation estimate
D-Risk leadership team
Management profileNumber of profiles
D-Risk funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
D-Risk 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 D-Risk
What does D-Risk do?
D-Risk provides machine-based risk rating services, replacing traditional analyst-driven rating processes with automated, data-driven assessment tools. The company focuses on transforming how risk evaluations are conducted by leveraging computational methods rather than manual analyst judgment.
When was D-Risk founded?
D-Risk was founded in 2017. It employs 1 to 10 people.
Where is D-Risk based?
D-Risk is headquartered in Singapore, Singapore, in the Asia region.
Who are D-Risk's main competitors?
Direct peers on record are Upstart, Zest AI, Provenir and ACTICO. Broad incumbents are Moody's Analytics and S&P Global Ratings. Emerging players are Turnkey Lender, DataRobot and Affirm. Moody's Risk and Compliance Solutions (Orbit) is listed as an others.
Does D-Risk have an API?
No public API is recorded for D-Risk.
What industry is D-Risk in?
D-Risk's product category is Risk Analytics Software. Its primary akta.pro industry code is FSAFAOAI, Model Risk Management (MRM) & Validation, with a secondary code of FSAMALAB, Risk Scoring, Decisioning & Orchestration. Its NAICS code is 541519 and its SIC code is 6282.