AI engineering for asset management, PE and private credit

Why financial institutions choose Ryz AI pod teams

Built inside your controls

Our pods work in your cloud, your repos and your CI, under your access policies and change management. Your data stays where it is, and your risk and compliance teams see the work as it happens.

Work that fits investment firms

Asset managers, private equity and private credit firms run on documents, data rooms, portfolio data and compliance review. Our engineers build AI that reads, extracts, checks and flags inside those workflows, with your people making the decisions.

Proven with a global capital management firm

One of our pods built AI marketing compliance that processes 8,000+ documents and cut review from days to hours.

Cross-industry depth

We serve enterprises across industries, including financial services. Your pod brings patterns from fraud, voice and support systems running at scale.

How it works

• Talk. Tell us what you want to build, where it has to run and who owns it on your side. You get a scoped plan, a price and the names of the people who would do the work.
• Match. We assemble a dedicated team scoped to your stack and your investment workflows. A typical pod is about seven senior engineers, including a tech lead, an ML engineer and backend engineers, working as one team.
• Embed. The pod works inside your cloud, your repos and your CI. Same standups as your team, with weekly demos of working software.
• Grow. Add people and disciplines as the scope grows, or hand the whole system over to your team when it is done.

Proof in production

Our teams build AI that runs in production, not pilots. Client names stay private, the numbers do not:

• AI fraud detection for a global fleet company: $5.94M in confirmed fraud, 244K+ invoices scored, under 30 seconds per invoice, validated by the client's fraud team.
• AI marketing compliance for a global capital management firm: 8,000+ documents, review cut from days to hours.
• AI voice platform with 1M+ outbound calls, from cold lead to qualified handoff.
• AI driver support agent handling 218K requests a year in three languages, at any hour.

Ryz is trusted by Fortune 500 engineering teams, and only the top 1% of the tens of thousands of engineers we have interviewed make it onto a Ryz team.

Questions

How much does an AI pod for a financial firm cost?

Custom quote, scoped per team. Pricing depends on the pod size, the seniority mix and the scope of the system. After the first conversation you get a scoped plan, a price and the names of the people who would do the work.

How does contracting work?

You sign one contract with Ryz. Our engineers work with us as independent contractors, and we handle paying them. The work lives in your cloud and repos, so you own it. Our recruiting AI is governed under GDPR, CCPA/CPRA and EU AI Act high-risk requirements.

Can the pod work New York market hours?

Yes. Our engineers are based in Latin America and work within one hour of US time zones, including New York hours. Your investment, risk and compliance teams can review work in the same day.

How quickly can we start?

It depends on the roles, the seniority and how many people you need. On the first call we look at your requirements and give you a realistic plan with named people, not a generic promise.