RiskFront AI
Also known as: RiskFront, Airos
Agentic AI systems for financial crime compliance whose Airos operating system runs Due Diligence Research, Transaction Analysis, and Document Analysis agents that automate the work between alert generation and human decisions; acquired by K2 Integrity in June 2026.
RiskFront AI is a Los Angeles company, acquired by the risk management and investigations firm K2 Integrity in June 2026, that builds agentic AI systems for the operational work of financial crime compliance.
Its product, Airos, is an AI enabled risk operating system made of three agent systems: Due Diligence Research agents that carry out open source research, flag risk relevant information and summarize what they find; Transaction Analysis agents that fetch, organize and analyze financial transactions; and Document Analysis agents that extract and exploit information from dense documents and files.
They take a transaction monitoring alert, an AML case investigation, a KYC onboarding or periodic review or a sanctions alert as input, do the research, data organization, extraction and analysis that sits between the alert and the human decision, and return a summary that flags and documents every relevant finding with an audit trail and rationale, so analysts spend their time on judgment rather than gathering.
The systems work primarily with open source data on the internet and with the data that make up the alert or review, and they support rather than replace transaction monitoring and screening tools. RiskFront sells to banks, financial institutions, fintechs, payment and card companies, money services businesses, crypto exchanges, marketplaces and professional services firms; since the acquisition K2 Integrity has said it will also use the technology in its own operations and in managed service offerings. Pricing is by demo.
Vendor details
Canonical URL
https://riskfront.ai
Category
Enterprise operations agent
Subcategory
Agentic AI for financial crime compliance operations
Funding status
Acquired by K2 Integrity, the global risk management, investigations, and assurance firm, announced June 9, 2026, with co founders Andy Bethurum and Mikhail Abramchyk and their team joining K2. Founded in 2024 in Los Angeles. Raised a three point three million dollar pre seed announced January 2026, led by Lytical Ventures with participation from Flint Capital and Oceans. K2 plans to use the technology internally and to build AI enabled managed services around it.
Company status
acquired
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Transaction Analysis agents fetch and organize financial transaction data, Due Diligence Research agents scan thousands of open data sources, and Document Analysis agents process unstructured files. A Concentrix partnership embeds the agents in global due diligence, KYC, and AML delivery operations. A public integration catalog was not documented on retrieved pages.
In practice
A compliance team drowns in enhanced due diligence requests. Airos research agents scan thousands of open sources, flag risk relevant findings, and draft complete reports, cutting research to a sliver of the workflow so analysts focus on judgment.
Alert queues grow faster than the investigation team. Transaction Analysis agents fetch and organize the data behind each alert and surface the suspicious patterns, handing investigators an evidence package instead of a blank screen.
A regulator asks how a decision was reached. Every agent output carries structured, auditable documentation generated as the work happened, not reconstructed after the fact.
Sources & related URLs
Related / legacy domains
Research sources
Agentic Index coverage score
5.0 / 14 capabilities · 36%
| Integrations & Tool Calling | Partial |
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Transaction Analysis agents fetch, organize and analyze financial transactions and the systems take in the data that make up an alert or review, per the homepage and FAQ; the documented direction is reading from sources and handing summaries back to a person, with no connector catalog, no custom tool support and no authenticated action into the customer's systems described. SourceRiskFront AI, riskfront.ai and riskfront.ai/resourcesread 2026-09-06 |
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| Workflow Orchestration | Full |
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Airos consists of three agentic AI systems, Due Diligence Research, Transaction Analysis and Document Analysis, each comprised of multiple AI agents, which take a transaction monitoring alert, case investigation, KYC onboarding or periodic review or sanctions alert as input and execute the research, data organization, extraction and analysis workflow end to end before returning a documented summary. The homepage documents that multi agent, multi step execution per review; no customer facing builder is documented. SourceRiskFront AI, riskfront.airead 2026-09-06 |
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| Knowledge Grounding & RAG | Partial |
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The vendor's FAQ states its agent systems primarily interact with open source data on the Internet and with the data that are components of an alert or review, and the homepage documents Document Analysis agents extracting information from dense files and Due Diligence Research agents summarizing search results. That is context assembled per review over external sources and the case's own documents; no maintained index, graph or embeddings layer over the customer's knowledge that persists across reviews is documented. SourceRiskFront AI, riskfront.ai/resources and riskfront.airead 2026-09-06 |
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| Human Oversight & Guardrails | Partial |
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By design the agents research, flag and document and a human analyst makes the decision: the FAQ states the systems support and accelerate the human analysis process and do not replace monitoring or screening, and the homepage says outputs accelerate human decision making. That places the decision with the customer's own process; no in run approval gate, escalation step or vendor owned review and approve surface is documented. SourceRiskFront AI, riskfront.ai/resources and riskfront.airead 2026-09-06 |
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| Security, Identity & Governance | Not documented |
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No attestation and no customer facing access surface is published: the site navigation carries no security or trust link, the documentation category is empty, and no trust or security subdomain exists for this vendor. SOC 2 Type II and an AWS private cloud appear only in trade coverage, not on RiskFront's own pages. The acquirer, K2 Integrity, has its own security page, but it covers a different legal entity from RiskFront AI, the seller on riskfront.ai. SourceRiskFront AI, riskfront.ai and riskfront.ai/resourcesread 2026-09-06 |
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| Observability & Auditability | Partial |
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Each output carries an audit trail and rationale, per the homepage, which says the agents summarize, flag and document all relevant information to accelerate the human decision. That provenance is asserted in one line; no audit log surface, run trace, export or record of user actions is documented. SourceRiskFront AI, riskfront.airead 2026-09-06 |
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| Memory & State Persistence | Not documented |
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Each review is worked from its own alert data and fresh open source research and returns a documented summary; no memory layer with a stated scope and lifetime across reviews, and no conversational session state, is documented on the vendor's pages. The FAQ's generic line that agentic systems learn through feedback loops is an explainer of the category, not a documented feature. SourceRiskFront AI, riskfront.ai and riskfront.ai/resourcesread 2026-09-06 |
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| Deployment & Data Residency | Not documented |
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No hosting provider, region or customer environment option is published on the homepage, resources or documentation pages; the FAQ's statement that the agent systems are deployed to the operational environment describes their place in the workflow, not where they run. An AWS private cloud appears only in trade coverage, not on RiskFront's own pages. Sourceriskfront.airead 2026-09-06 |
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| Prebuilt Agents, Templates & Packs | Full |
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Three named agent systems ship with Airos, Due Diligence Research, Transaction Analysis and Document Analysis, each a complete system doing a distinct job on a distinct kind of input; remove Document Analysis and the other two still research and analyze transactions whole. They are presented as the constituents of one operating system, and whether a customer adopts one without the others is not documented. SourceRiskFront AI, riskfront.airead 2026-09-06 |
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| Triggers & Channel Coverage | Partial |
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The homepage names the inputs that start the agent systems, transaction monitoring alerts, AML case investigations, KYC onboarding and periodic reviews and sanctions alert reviews, and the FAQ places the systems in the operational environment downstream of monitoring and screening; the route by which an alert reaches the agents, whether integration, queue or upload, is not documented, and no schedule, webhook or trigger configuration surface is published. SourceRiskFront AI, riskfront.ai and riskfront.ai/resourcesread 2026-09-06 |
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| Model Flexibility & Routing | Not documented |
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The FAQ refers to large language models only generically: no model provider is named on the homepage, FAQ or documentation pages, and no customer or admin model selection is documented. No sub processor list or trust surface is published either. SourceRiskFront AI, riskfront.ai and riskfront.ai/resourcesread 2026-09-06 |
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| APIs, SDKs & MCP Extensibility | Not documented |
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Outside callers have no documented way to drive the platform: no API, SDK or MCP server is published, the site navigation carries no developer link, the documentation category under Resources renders the FAQ with no entries, and no developer subdomain exists. The FAQ's generic statement that agentic systems execute tasks via APIs describes the category, and on its own terms the platform calling out rather than being called. SourceRiskFront AI, riskfront.ai/resources/categories/documentation and riskfront.airead 2026-09-06 |
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| Testing, Debugging & Optimization | Not documented |
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No test harness, scored test cases, quality gate or optimization loop for the agent systems is documented on the vendor's pages; the claims of more consistent outputs and accelerated analysis are the vendor's own benchmark of its product, which is marketing, and the FAQ's line that agentic systems improve through feedback loops is a category explainer. SourceRiskFront AI, riskfront.ai and riskfront.ai/resourcesread 2026-09-06 |
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| Browser & Computer Use | Partial |
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Due Diligence Research agents perform open source research on the Internet at run time for each alert or review, per the homepage and the vendor's FAQ; the agents do the research themselves rather than crawling to build an index. The mechanism (search, headless fetch, browser) is not stated, and no browser, desktop or computer control is documented. SourceRiskFront AI, riskfront.ai/resources and riskfront.airead 2026-09-06 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Contact for pricing
What is public
Nothing numeric. The product structure is public: the Airos operating system with Due Diligence Research, Transaction Analysis, and Document Analysis agent systems. A Preqin profile describes a subscription model with user licenses, recorded here as a labeled third party description.
Billing mechanics
Enterprise sales led motion pre acquisition. Post acquisition, K2 Integrity is building AI enabled managed service offerings around the technology and deploying it in client engagements, so commercial paths now include both software contracts and services.
Cost watchouts
If delivered as a managed service through K2 or partners like Concentrix, total cost includes the operational delivery layer, not just the software.
Variable cost rationale
No public rates exist. A third party profile describes subscription user licenses scoped by teams and departments, which would make cost scale with adoption breadth, and the K2 Integrity acquisition adds a services dimension where the technology can arrive bundled inside managed service engagements.
Additional watchouts
The June 2026 K2 Integrity acquisition changes the buying motion: confirm whether you are buying software, a managed service, or an advisory engagement with the technology inside, and how existing contracts carry over.
Sales call required
Yes, required for paid access
Free / trial
No free tier or trial is documented on retrieved pages
Key ambiguities
How the offering is packaged under K2 Integrity, and whether standalone software contracts remain available versus managed service bundles.
Missing data
No published pricing, tiers, minimums, or contract terms were retrievable from company pages.
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Alternatives to RiskFront AI
The closest documented capability profiles to RiskFront AI among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Firmbase5.5 / 14Adds documented Security, Identity & Governance
- Vivox AI6.5 / 14Adds documented Testing, Debugging & OptimizationRiskFront AI vs Vivox AI →
- HackerEarth4.0 / 14Adds documented APIs, SDKs & MCP Extensibility
- Paraform4.0 / 14Adds documented Security, Identity & Governance
- Pennant Technologies6.0 / 14Adds documented Security, Identity & Governance
- Synthetic3.0 / 14A lighter documented profile than RiskFront AI
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded