Selecting a software agency to build an AI-powered financial product is a decision that shapes your product’s cost, speed, and security for years. This article analyzes seven software agencies to consider if you want to start building an AI-powered financial product immediately. Each profile shows who the agency suits best, what it can prove, and what to verify before signing. The FAQ at the end explains how to start quickly, when security certification is needed, and what the first agreement should include.
1. 7 software agencies to consider for an AI-powered financial product
|
Agency |
Engagement model |
Fintech delivery evidence |
AI capability |
|---|---|---|---|
|
DevHawk |
Managed model, or AI agents operated by the client’s team |
Guardrails portfolio analysis and recommendation software for Potomac Fund Management; machine learning work for an unnamed fintech company |
A suite of AI agents steered by senior engineers; DevHawk.ai, an AI project management agent (not a financial product) |
|
PowerGate Software |
Dedicated team, fixed price or time and materials |
Financial automation, payment gateway, multi-currency cards, KiwiSaver investment platform |
AI development services; AI work for a cybersecurity client |
|
ZeroTwo Solutions |
Fixed-scope pilot packages and milestone-based builds |
Options analytics platform and OPRA market data pipeline; real-time stock market application; Ahrvo chat and payments platform |
AI research agent on Claude via AWS Bedrock; desktop AI trading assistant (MCP); AI voice assistant |
|
TechVerse Solutions |
Fixed-price contracts |
Algorithmic trading, fraud detection, and automated compliance monitoring platforms |
AI-powered market sentiment analysis, fraud detection, and compliance automation |
|
Beltline |
Strategy workshops, embedded development teams, and project-based services |
Halcyon Lending ledger modernization, Parallel Pay real-time payments, and Atlas Treasury audit remediation |
Financial analytics for transaction patterns, customer behavior, and predictive risk assessment |
|
Ryz Labs |
Staff augmentation, AI pods, and dedicated development teams |
Payments, ledgers, reconciliation, lending, onboarding, and partner integrations |
Financial document AI, portfolio monitoring, covenant tracking, and AI marketing compliance |
|
Forcoda |
End-to-end product development and dedicated team augmentation |
SelectFI automotive financing platform |
DiligenceIQ agentic AI platform for investment analysis and due diligence |
Note: The information in this article was last verified on 8 November 2026 from the companies’ official websites, press releases, and third-party sources such as Clutch, TechBehemoths, and Crunchbase. The order of the companies does not reflect ranking or capability, and it is not an endorsement of any one of them.
1.1 DevHawk
DevHawk, based in Atlanta, has helped 175 businesses access senior US-based engineers since 2022. The company has shifted from supplying part-time engineers to an “AI software factory” model, where senior engineers direct the work of AI agents. Wealth management and fintech are the sectors it has served the longest.
Best for: Businesses that want AI-assisted engineering for financial software, investment analytics, or machine learning work, run either by DevHawk or by their own team.
Engagement model:
- Managed model: Senior engineers run the delivery and direct the AI agents.
- Client-operated model: The client’s team operates the AI agents.
Fintech delivery evidence:
- Potomac Fund Management: Guardrails, software that analyzes portfolio models and produces recommendations, announced in January 2024. DevHawk set up a modular development team for the project. The project includes risk scoring and a recommendation system with AI-generated analysis summaries.
- Unnamed fintech company: Machine learning development work, according to a Clutch review.
AI capability: DevHawk runs a suite of AI agents steered by senior engineers. DevHawk.ai, launched in January 2026, is an AI agent for software project management that connects to Jira, Linear, and Asana.
Web: https://devhawk.ai/
1.2 PowerGate Software
Founded in 2011, PowerGate Software is headquartered in Hanoi, Vietnam, with offices in the United States, the United Kingdom, Canada and Australia. Its services include custom software, mobile and web development, AI, blockchain, cloud platforms and ERP systems. It has delivered more than 200 projects across healthcare, fintech, education and other sectors. The company holds ISO 27001:2022 certification, an international standard for information security management.
Best for: Businesses that need a custom development partner for a financial platform, payment infrastructure, or financial workflows that may add AI later.
Engagement model: Dedicated team, fixed price, and time and materials models.
Fintech delivery evidence:
- Financial automation platform: Processes more than 150 million invoices and documents a year.
- White-label payment gateway: Used by Swedbank, SEB and LHV.
- Multi-currency cards platform: Accepted at 1 million locations in the United Kingdom.
- KiwiSaver investment platform: Built for a licensed KiwiSaver provider in New Zealand.
AI capability: PowerGate Software offers AI development services, and one Clutch review mentions AI work for a cybersecurity client.
Web: https://powergatesoftware.com/

1.3 ZeroTwo Solutions
Founded in 2016, ZeroTwo Solutions is a small software company in Surat, India, with more than 15 professionals and more than 150 delivered projects. Its published security measures include multi-factor authentication, least-privilege access, data encryption, and not using client data to train models.
Best for: Businesses building trading analytics platforms, real-time market data platforms, or AI agents for financial products.
Engagement model: Fixed-scope pilot packages and milestone-based build phases.
Fintech delivery evidence: The case studies belong to the same options analytics client, whose name is withheld under an NDA, along with several other projects:
- Options analytics platform: A four-tier subscription platform with more than 130 pages of live data on options order flow, dark pools and volatility, running on more than 100 WebSocket routes.
- Market data pipeline: Ingests US options data (OPRA) and dark pool trades in real time.
- Stock market web application: A React, TypeScript, and Django platform that receives WebSocket data feeds from a global exchange and pushes live updates to many users at once, with role-based access control.
- Ahrvo: A fintech communication platform that combines real-time chat with payment flows. The website does not describe any AI function for this project.
AI capability: All three products belong to the same options analytics client.
- AI research agent: Runs on Claude via AWS Bedrock with 16 tools and has shipped 8 versions. Scoring is done by a deterministic calculation tool, so the model does not calculate figures itself.
- Desktop AI assistant: Controls trading charts directly through an MCP server with 105 tools.
- AI voice assistant: Has 56 voice-callable tools and was tested with more than 1,500 automated tests.
Web: https://zerotwosolutions.com/
1.4 TechVerse Solutions
TechVerse Solutions is a software and AI development company focused on the US market. Its services include AI agent development, generative AI, SaaS, enterprise software, and mobile apps.
Best for: Financial businesses that need a fixed-price development partner to build AI-powered trading platforms, fraud detection systems, or automated financial compliance solutions with clearly defined requirements and milestones.
Engagement model: Offers fixed-price contracts with a dedicated US-based project manager. Clients receive weekly progress updates, retain full source-code ownership, and get 3-12 months of post-launch support.
Fintech delivery evidence:
- FinEdge Capital: Built an AI-powered trading platform processing over 10,000 transactions per second, with market sentiment analysis and automated portfolio risk management.
- PayShield: Developed an ML-based fraud detection system for a payment processor handling $2 billion annually, achieving 99.2% detection accuracy and 78% fewer chargebacks, according to the company.
- ClearPath Financial: Built an automated compliance platform covering 100% of transactions, reducing SAR filing time by 85% and reporting zero regulatory findings after deployment.
AI capability: TechVerse applies AI to financial trading, fraud detection, and compliance. FinEdge analyzes market sentiment, PayShield uses machine learning to detect suspicious transactions, and its ClearPath Financial solution flags transaction anomalies and generates SAR drafts for compliance review.
Web: https://techverse-solutions.com/

ClearPath case study’s measurable business impact
1.5 Beltline
Beltline is a US-based fintech software development company with a contact address in San Francisco. Its services include fintech software development, system integration, system modernization, and cybersecurity.
Best for: Fintech startups and growing financial businesses that need a custom financial platform, system integration, or modernization of payment and banking systems.
Engagement model:
- Strategy Workshop: A one-time, fixed-fee session to assess product ideas, define scope, and create a development roadmap.
- Development: An embedded engineering team works alongside the client’s team on ongoing product development, billed monthly with a six-month minimum commitment.
- Custom Requests: Project-based services for specific needs, including security audits, SOC 2 preparation, penetration testing and compliance consulting
Fintech delivery evidence:
- Halcyon Lending: Consolidated 14 systems into a centralized ledger, migrated 2.4 million historical entries, and reduced reconciliation time from over six hours to four minutes. SOC 2 findings fell from 11 to zero.
- Parallel Pay: Built a real-time payments system in nine weeks, processing $410 million in its first month with a 99.99% settlement SLA and zero operational incidents or reversals.
- Atlas Treasury: Helped address 38 open exceptions, remediate two missing controls, and rebuild the audit evidence pipeline. The SOC 2 Type II audit closed within 21 days with zero findings.
AI capability: Beltline offers AI-powered financial analytics for transaction analysis, customer behavior insights, and predictive risk assessment. Its security practices include AES-256 encryption, OAuth 2.0, MFA and audit logging, but no specific AI-powered financial product deployments are documented.
Web: https://getbeltline.com/

1.6 Ryz Labs
Ryz Labs is a software engineering company and venture studio founded in 2021 by Jordan Metzner and Sam Nadler.
Best for: Financial institutions, lenders, and investment firms that need dedicated teams to build AI-powered financial workflows in their own cloud environments.
Engagement model:
- Staff augmentation: Adds senior engineers to existing fintech teams. This is its most common fintech engagement model.
- AI pods: Dedicated teams that build and deploy AI systems in clients’ cloud environments.
- Dedicated development teams: Teams that develop specific products, such as card programs and lending platforms.
Fintech delivery evidence:
- Payments and money movement: Card issuing, banking API integrations, ACH, RTP and FedNow transfers, bank wires, and payouts.
- Ledgers and reconciliation: Double-entry ledgers, balance management, and automated reconciliation.
- Lending and onboarding: Loan origination, underwriting, repayment, servicing, and KYC/KYB.
- Partner integrations: Connections to sponsor banks, payment processors, and financial data providers.
AI capability:
- Financial document AI: Supports deal-document review, underwriting document intake, financial analysis, covenant extraction and tracking, and portfolio monitoring.
- AI reliability: Links extracted values to source documents, flags low-confidence results for human review, and evaluates output accuracy when models or prompts change.
- AI compliance: Deployed a marketing compliance platform for a global investment manager. It reviews over 8,000 documents annually, flags missing disclosures and unsupported claims, and reduces review time from days to hours.
Web: https://ryzlabs.com/
1.7 Forcoda
Founded in 2014, Forcoda is a software development and product design company based in Buffalo, New York. It provides UX/UI design, MVP, and web and mobile development for startups and larger organizations.
Best for: Businesses building an early-stage product that need product design and software engineering from one team, with limited AI scope.
Engagement model: Forcoda offers end-to-end product development and dedicated team augmentation, covering everything from product discovery and prototyping to launch and ongoing support.
Fintech delivery evidence: SelectFI is an automotive financing platform that integrates credit checks, third-party APIs, and Dealertrack to generate financing options based on customer credit history and lender guidelines. No specific financial compliance certifications are documented.
AI capability: DiligenceIQ is an agentic AI platform for investment firms that uses LLMs and RAG to generate investment insights and risk assessments. Its security measures include role-based access control, row-level security, enterprise authentication, and audit capabilities.
Web: https://forcoda.com/

2. Frequently asked questions
2.1 Can a software agency start building an AI-powered financial product immediately?
Yes, if both sides are prepared. A focused prototype or limited release may take a few weeks, while a production-ready financial product usually requires more time for integration, security testing, and compliance checks
On your side:
- Define the project scope and applicable compliance requirements.
- Provide necessary data and system access from day one.
- Assign a decision-maker to approve requirements and scope changes.
On the agency’s side:
- Confirm the start date, first-release timeline, and team assigned to the first sprint.
- Define what starting means, whether it is discovery, technical planning, or the first development sprint.
- Provide a milestone-based roadmap covering development, system integration, security testing, and AI output evaluation.
- Clarify responsibilities for data protection, testing, and compliance requirements.
- Provide references to comparable financial or AI projects that you can verify.
2.2 Should security certification be mandatory?
Not in every case. Certification may be required when a product handles payment or customer financial data, or when customers or regulators require it. An internal prototype that uses no real data does not need the same certification.
When evaluating an agency:
- Certification: ISO 27001 shows that an agency has a managed information security process. However, it does not replace a review of access management, data handling, and incident response.
- Verification: Check the certificate number, its scope, and the legal entity named on it.
- No certification: Ask the agency for a written summary of its security controls.
>>> Among the seven agencies mentioned above, PowerGate Software is recorded as holding ISO 27001:2022 certification, while ZeroTwo Solutions states that it is not currently SOC 2 or ISO 27001 certified. The certification status of the other five agencies remains unclear.
2.3 What should the initial agreement include?
A good agreement covers four groups:
- Scope and deliverables: Project scope, deliverables, acceptance criteria and timeline.
- Team and payment: Team composition, payment milestones and the change-control process.
- Ownership and data: Intellectual property, confidentiality and data handling.
- Security and support: Security responsibilities and post-launch support.
The seven agencies above offer different levels of fintech experience, AI capabilities, and engagement models for businesses looking to start building an AI-powered financial product immediately. Before choosing an agency, check its relevant project experience, technical expertise, security practices, and ability to meet your project requirements.