Software Engineering Consulting for Fintech, AI Agents & Data-Heavy SaaS
alphabench helps startups and businesses design, build, and scale production-grade software systems: fintech platforms, AI agents, backend APIs, data pipelines, trading infrastructure, and internal automation tools.
The Challenge
Serious software problems rarely fail for lack of effort. They fail because the architecture cannot carry the load, the data model fights the domain, or the team is shipping features faster than the system can absorb them. Generic agencies optimize for delivering a feature list; they are not equipped to own the hard technical judgment that fintech, AI, and data-heavy systems demand.
Our Approach
We work as a senior engineering partner, not a feature factory. We start from the architecture and the constraints (compliance, latency, scale, reliability) and design systems that hold up in production. Then we build them, with the same rigor we apply to our own quantitative research platform: idempotent APIs, real observability, evals for AI, and CI/CD from day one.
What We Deliver
AI Agents & LLM Systems
Production AI agents with tool calling, RAG, evals, guardrails, and monitoring, engineered to run reliably, not just demo.
Backend & API Architecture
Idempotent, versioned APIs and event-driven backends built for scale, correctness, and compliance.
Data Pipelines & Infrastructure
Streaming and batch ETL, reporting, and analytics infrastructure that turns raw data into trustworthy systems.
Fintech & Trading Platforms
Trading, portfolio, and market-data systems with the latency and reliability institutional capital requires.
MVP to Production
Hardening fragile prototypes into observable, scalable, production-grade systems your team can own.
Architecture Audits & CTO
Paid architecture reviews and fractional CTO leadership to set technical direction before you commit capital.
How We Work
Assess
We review your system, constraints, and goals to find the technical risks and the highest-leverage work.
Architect
We design the architecture and data model against your real constraints: compliance, latency, scale, reliability.
Build
We ship in focused increments with observability, tests, and CI/CD in place from the start.
Hand Off
We leave you a documented, observable system your team can own, not a black box that depends on us.
Frequently Asked Questions
Most engagements fall between $25K and $500K+, depending on scope, system complexity, and timeline. We work best with teams that have a real budget and a meaningful problem, not small fixes or low-cost clone builds. We give a concrete estimate after an initial architecture assessment.
Let's scope your build.
Tell us about your requirements. We'll respond within 24 hours with an initial architecture assessment.
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