What Rekord does

Rekord is an AI-native orchestration platform purpose-built for credit decisioning in regulated banking and fintech environments. The company was founded in 2023 by Christopher Lynch (CEO, ex-AWS) and Mark Noone (CTO), motivated by their own experiences with slow, manual mortgage underwriting. Rekord Software Limited is incorporated in Ireland (Dublin HQ), though the firmographic record lists Lido Di Iesolo, Italy, and the company is actively hiring for senior backend and frontend engineers. The platform is structured as four interconnected core modules — Unified Data View (an entity-resolved context graph aggregating data from credit bureaus, registries, open banking, documents, and adverse media), Workflow Orchestration (configurable decision flows connecting data, policy, AI agents, and human review), Case Management (AI handles routine cases and escalates exceptions with full context), and Policy Engine (natural-language policy authoring with versioning and audit trails) — packaged into two solution offerings: Credit Underwriting and Onboarding.

Under the hood, the platform operates as a multimodal AI system over structured and unstructured data, with documented capabilities in knowledge retrieval, natural language processing, process automation, autonomous agents, anomaly detection, and generative AI for decision explanation. The architecture is explicitly API-first and composable, designed to integrate with existing core banking, loan origination systems, and bureau feeds without rip-and-replace. Rekord sells exclusively to enterprise customers through a direct field-sales motion — there is no self-serve pricing, only quote-based annual subscriptions booked via Cal.com demos — and explicitly positions itself as the system of record for explainable, auditable AI-driven credit decisions aimed at satisfying banking regulators.

Rekord raised a $2.1M Pre-Seed round in September 2025 led by Point Nine, with participation from helloworld vc, Octopus Ventures, Baseline Community + Workspace, and angel investor Eugene Danilkis (Co-Founder of Mambu). The company has no publicly disclosed customers, no disclosed revenue, and remains a team of 1-10. The revenue model is annual SaaS subscription, but the actual customer base is unobservable in source data, making the company effectively pre-revenue with early design-partner pilots likely in flight.

Name

Rekord

Legal name

Rekord Software Limited

Website

https://rekordsoftware.com

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

11–50 employees

Short description

Rekord is an AI-native orchestration platform that automates credit underwriting and customer onboarding for European banks and fintechs via a modular context-graph, workflow, policy, and case-management stack sold as annual enterprise SaaS subscriptions.

Ownership category

akta.pro rank

Product category

Credit Decisioning Software

NAICS

Financial Transactions Processing, Reserve, and Clearinghouse Activities (522320), Custom Computer Programming Services (541511)

SIC

Finance Services (6199)

akta.pro primary industry

Alternative Data & Credit Scoring (Cashflow, Telco, Utility, Open Banking) (FSAGAHAC)

akta.pro secondary industry

Transaction Analytics & Cash-Flow Insights (risk signals, forecasting) (FSAGACAG)

Keywords

• Credit decisioning software
• AI underwriting platform
• Workflow orchestration tools
• Policy automation engine
• Banking onboarding solutions

Headquarters

HQ city

Lido Di Iesolo

HQ country

Italy

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. SaaS Platform Subscription: AI-native platform for credit decision orchestration sold on a subscription basis to banks and fintechs. Open, composable and API-first architecture integrates seamlessly with existing systems without requiring rip-and-replace.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Core offering

Rekord sells an AI-native orchestration platform for credit decisioning that helps banks and fintechs automate underwriting and customer onboarding. The platform unifies data from bureaus, registries, documents, and open banking into a single context graph, orchestrates decision workflows with AI agents and human-in-the-loop review, and enforces natural-language policies with a full audit trail. It is delivered as an enterprise SaaS subscription with open, composable APIs that integrate with existing core banking and loan origination systems.

Product overview

Rekord is an AI-native platform for credit decision orchestration, offered as a unified platform with modular building blocks. The core platform consists of four interconnected modules: Unified Data View (connects to external data sources and builds context graph), Workflow Orchestration (designs and runs decision flows), Case Management (AI-powered case review with human escalation), and Policy Engine (natural language policy authoring and enforcement). These are complemented by two solution-specific use cases: Credit Underwriting and Onboarding, which apply the core platform capabilities to specific credit and onboarding workflows. All modules share a unified context graph and traceable audit trail.

Differentiator

Problem solved

Functional benefit

Products and services

• Unified Data View Connects to every data source — documents, bank feeds, credit bureaus, registries, and third-party checks — and builds a unified context graph that understands how data points relate and which entity they belong to. Designed for credit and risk teams at banks and fintechs who need a single source of truth across applicant data.
• Workflow Orchestration Designs, runs, and changes decision processes by connecting data, policy, AI agents, and human review in any chosen order, running cases end to end automatically. Built for credit operations teams at banks and fintechs who need to adapt decision flows without engineering dependency.
• Case Management AI-powered case management that handles routine work autonomously and hands underwriters only the cases needing human judgement, with full context already gathered and policy evaluation laid out for review. Built for underwriting teams at banks and fintechs.
• Policy Engine Allows policies to be written in natural language and enforces them consistently with full audit trail, explaining why policies pass or fail and versioning every change. Targeted at credit, risk, and compliance teams at banks and fintechs who need explainable, regulator-ready decisions.
• Credit Underwriting Automates credit underwriting by gathering documents and data from multiple sources, running policies, and presenting decision-ready cases to underwriters with full context. Aimed at banks and fintechs running lending operations.
• Onboarding Onboards customers by building full applicant profiles from documents, bureaus, registries, and open banking; verifies identities, runs compliance checks, and spots anomalies before approval. Designed for banks and fintechs running customer onboarding flows.

Quantifiable outcome

• Reduction in manual work for credit and risk teams
• +2 more outcomes

Named customers1 record

Segments3 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability9 records

Feature4 records

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Taktile: Taktile is an AI-native decisioning platform for financial services that lets risk teams automate underwriting, fraud, and KYC workflows with explainable rules and ML models. It is the closest direct competitor to Rekord in the AI-credit-decisioning orchestration category, targeting the same bank and fintech buyers with a composable platform.
• Zest AI: Zest AI builds AI-powered credit underwriting software that lenders use to improve approval decisions and reduce bias. It targets banks, credit unions, and fintechs with automated decisioning — the same buyer profile and use case as Rekord's credit underwriting module.
• Scienaptic AI: Scienaptic AI provides an AI-powered credit decisioning platform (Ether) used by banks, credit unions, and fintechs to automate underwriting and portfolio decisions. It overlaps directly with Rekord's credit underwriting solution and serves a similar regulated buyer base.
• Provenir: Provenir offers a no-code AI risk analytics and decisioning platform for financial services, including onboarding, fraud, and credit decisioning workflows. It is a direct peer in the decision-orchestration category serving banks and fintechs.

Broad incumbents

• nCino: nCino is a cloud banking platform with built-in loan origination and credit decisioning capabilities used by hundreds of banks globally. It is a broader incumbent that competes for the same credit-decisioning budget as Rekord but bundles it into a wider platform.
• FICO: FICO is the long-standing incumbent in credit scoring and decisioning, with its FICO Platform offering decision management, originations, and fraud tools deeply embedded in bank stacks. It competes with Rekord as an established alternative for automated credit decisioning.
• Experian Decisioning: Experian provides credit data, analytics, and decisioning software (PowerCurve, Ascend) used by banks and lenders globally. It is a broad incumbent offering overlapping credit-decisioning functionality alongside bureau data.

Emerging players

• Underwrite.ai: Underwrite.ai applies AI to consumer lending decisions, helping lenders automate approvals and pricing. It is an emerging AI-native player with partial overlap to Rekord's credit underwriting use case.
• Personetics: Personetics provides AI-driven financial-data insights and decisioning for banks, including automated workflows over customer transaction data. It overlaps with Rekord's use of cashflow and transaction analytics for risk decisions.
• Ocrolus: Ocrolus automates document analysis and data verification for lending, including income, identity, and bank-statement data extraction. It is an emerging AI player in the lending decisioning stack that addresses a key input layer of Rekord's unified data graph.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/rekordsoftware

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds1 record

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Rekord