RBA Systems builds AI-native enterprise products and delivers follow-the-sun offshore engineering from Texas and India — the same applied-AI practices that ship inside Veil, Flipgate and OmniMesh show up in every client engagement.
Every RBA product shipped as an internal tool before it became something we sell — that's why the feature set matches how teams actually work, not how a roadmap imagined they would.
One self-hosted detection & redaction engine across text, files, databases, streams, object storage, telemetry and AI/LLM gateways — purpose-bound, with signed de-identification receipts proving what was removed and why.
Create and manage flags; target rollouts by user list, percentage, attribute rules, or A/B variant; let applications evaluate them live. Ship the code today, decide the rollout later — no redeploy required.
Govern, design, build and run every API, event and file through one lifecycle — idea → draft → governance review → approve → promote — through pluggable gateways, brokers and LLMs, with a white-labelled developer portal.
Plenty of firms added "AI-powered" to their homepage this year. We shipped a retrainable PII model, a governance auto-fix loop, and a multi-provider LLM abstraction — inside products running in production, not a proof of concept. The same discipline carries into every engagement: AI accelerates the work, a senior engineer owns what reaches production.
Veil's multilingual PII model is trained, benchmarked and versioned by us — not a wrapped third-party API. OmniMesh generates OpenAPI specs from plain language and reviews every API/event against governance with an LLM, storing its confidence and rationale for audit.
Every LLM integration we ship sits behind a provider interface — OpenAI, Anthropic, AWS Bedrock, or a self-hosted Ollama model — so clients aren't locked to one vendor's pricing or data-handling terms. Security-sensitive clients can run fully self-hosted, air-gapped models.
Spec generation, code review support, and governance checks run continuously across our engagements. Every AI-assisted output is reviewed and owned by a senior engineer before it ships — AI moves faster, it doesn't remove accountability.
Models get benchmarked against gold-standard test sets before and after every change, the same rigor we apply to any production code path. "It looks right" isn't a release gate here — a measured score is.
Two businesses under one roof, reinforcing each other: what we learn shipping our own products — AI-assisted delivery, governance, secure-by-default engineering — is exactly what our services teams bring to your projects.
Three products in active production, each solving a problem we hit ourselves: moving sensitive data safely (Veil), shipping features without redeploying (Flipgate), and governing a sprawling API/event landscape with AI assistance (OmniMesh).
See all products →Architecture & modernization, web & mobile delivery, cloud engineering, AI-assisted development, and staff-augmented offshore teams — run from Greater Noida with Texas-based delivery leadership, so you get US-hours accountability with global-hours throughput.
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RBA SystemsTexas · India