High-stakes technical leadership for PE-backed FinTechs and Asset Managers. We architect the secure integration of autonomous systems into mission-critical environments.
The era of simple chatbot wrappers is over. The next wave is autonomous, multi-step AI agents acting on real financial data — and the bottleneck is not model capability. It's secure architecture.
As agentic workflows move beyond pilots into production, the critical question shifts from "Does the model work?" to "Can we safely connect it to our systems?" This is where Model Context Protocol (MCP) becomes essential. MCP provides a standardized, secure method for connecting Large Language Models to enterprise data sources with granular access control, audit trails, and read-only guarantees.
The financial services firms winning this transition aren't those with the biggest LLM budgets — they're the ones with the right architectural foundation.
"We build secure, read-only bridges between your proprietary data silos — OMS, PMS, risk engines — and LLMs, enabling production-grade agentic workflows without compromising data privacy."
Our approach: deeply understand your existing infrastructure, architect MCP connectors with institutional-grade security and compliance controls, and migrate your agentic pilots into production workflows that regulators will approve.
Technical due diligence for M&A, R&D turnarounds, and legacy-to-cloud migration roadmaps. We sit alongside PE operating partners to de-risk technology portfolios and unlock value.
Implementing Lean SDLC, quality gates, and engineering leadership mentoring to eliminate technical waste, accelerate delivery velocity, and build sustainable engineering cultures.
Expert execution of the Strangler Fig pattern to migrate monolithic platforms to microservices architecture with zero downtime, full regulatory traceability, and measurable risk reduction.
With 25+ years architecting mission-critical financial systems, we understand the unique constraints and opportunities of regulated environments. Availability, security, and regulatory compliance aren't afterthoughts — they're foundational.
"In a regulated environment, the hurdle to AI adoption is architectural, not algorithmic. TechneFinance provides the engineering rigor required to move AI from pilot to production."
Our systems have supported $billions in AUM across OMS, PMS, risk, and settlement platforms with 99.9%+ uptime. We know how to architect for the edge cases that matter: regulatory reporting, audit trails, disaster recovery, and the thousand small details that prevent outages.
Explore our open-source MCP implementations and research on Agentic workflows for financial services. We publish reference architectures, security patterns, and real-world case studies to advance the entire industry.
Let's discuss your architecture, timeline, and technical risks.