Provenir
The Decision Intelligence Platform for financial services providers
By Provenir · HQ Parsippany, US · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Banks, lenders and fintechs that need governed, real-time credit, fraud and collections decisions at scale
- Risk and data science teams that want to build, deploy, monitor and explain their own models on one platform
- Multi-country financial enterprises that need consistent decisioning plus audit-ready governance and assurance evidence
Ideal size: 50-5,000+ employees people · Regulated lender or fintech with an in-house risk/data science function
Not for
- Small businesses or teams without in-house risk or data science resources
- Companies outside financial services looking for generic workflow automation
- Buyers who require published self-serve pricing and same-day onboarding
Value metrics scorecard
Time-to-Value
A few weeks (models in days, not months)
~30 days to first production value
Total Cost of Ownership
On request
Enterprise subscription, quote-based; no public list pricing
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not listed
Add-on costs
- None
Company & support
Who is behind Provenir, and how your team gets help once it is live.
Company
- Founded
- 2004 · 22 yrs in business
- Headquarters
- Parsippany, US
How you get support
- PhonePlan not stated
- EmailNot listed
- Live chatNot listed
- Support portal / ticketsPlan not stated
- Community forumNot listed
- Help centre / docsNot listed
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- 24/7
- Response time
- Not stated
Follow-the-sun model with 24/7 coverage 365 days a year for urgent issues. Regional support numbers listed for the US, UK and Singapore, plus a support portal with priority ticketing. Plan-level tiering is not published.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Provenir sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Provenir
- Middesk
- Napier AI
- Chainalysis
- Cypago
- Elliptic
Add or change companies
Up to 10 companies including Provenir. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Provenir ships in AI, and what it asks of your ecosystem.
AI features shipped
Provenir AI includes an LLM-powered Provenir Assistant for decision insights, agentic decisioning flows that embed LLM plus agentic protocol into workflows, real-time graph ML profiling for sub-200ms decisions, and expanded XAI explainability. A marketplace offers prebuilt LLM and data integrations.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Provenir is a decision intelligence platform for financial services providers. It consolidates data, AI models, analytics and decisioning agents into one governed environment for credit risk, fraud, collections and customer management decisions. The vendor cites 120+ customers in 60+ countries processing 4+ billion decisions a year. Founded 2004; SOC 2 Type II reports available on request; 24/7 follow-the-sun support. Pricing is quote-based with no public list rates.
Frequently asked questions
How is Provenir priced?
Provenir does not publish list pricing. Commercially it is an enterprise, quote-based engagement, so buyers should request a scoped proposal covering platform subscription, marketplace data/LLM usage and professional services. Because the platform typically replaces or consolidates several legacy decisioning tools, plan for a multi-year contract.
How long does implementation take?
Vendor material says models can be launched 'in days, not months', and one customer reported complete self-sufficiency in about four months. Most enterprise lenders should budget several weeks of data connection, configuration and model validation before the first production decisions, plus ongoing governance work.
Does Provenir train AI models on our customer data?
Provenir's public privacy, trust and compliance pages do not make an explicit statement about whether customer data is used to train or improve models. Before signing, request the data processing agreement, subprocessor list and the AI governance documentation described on their compliance page.
What compliance and assurance evidence can we get?
The compliance page describes an independent Compliance, Regulatory and Data Protection function and a three-lines-of-defence model, and lists SOC 2 Type II reports, certificates and scope statements, penetration-testing summaries, DPAs, subprocessor information and AI governance documentation as available on request through controlled channels.
What support is included?
Provenir runs a follow-the-sun support model with 24/7 coverage, 365 days a year, for urgent issues, a support portal with priority ticketing, and regional support phone numbers for the US, UK and Singapore. Support tiering by plan or a formal response-time SLA is not published.
Can Provenir connect to our existing data and AI stack?
The platform is data-source agnostic and includes a marketplace of prebuilt data and LLM integrations plus a workflow builder for agentic decisioning flows, so scores, compliance checks and third-party signals can be orchestrated in one place. Specific CRM or cloud connectors are not published publicly, so confirm them during due diligence.