Self-hosted privacy and API-governance platforms, backed by US-led architecture and senior engineering delivery — built for organizations where control isn't optional.
Most leaks aren't breaches — they're normal operations without a control plane. A stack trace, a prompt, a nightly copy, a document forwarded between systems. Each one is a digital connection, and every connection is a path.
One noisy stack trace and a live secret is sitting in Datadog, Splunk or Loki — copied, indexed, retained. Veil's telemetry gateways scrub logs in flight, before your observability stack ever stores them.
Every LLM call is data leaving your platform. Veil's AI gateway redacts or tokenizes prompts before they cross the boundary — and restores what each audience is allowed to see on the way back.
Databases, Kafka topics, drives, SaaS apps, partner buckets — modern platforms are made of connections. One policy, enforced on every one of them, with a re-identification risk gate on what leaves.
Invoices, claims, IDs arriving by email, drive and SFTP. Veil Lens reads them, extracts what matters, checks consent, routes the clean result — and signs a receipt proving what was removed and why.
Three expensive production problems — and the product we built to kill each one.
Your customers’ data is sitting in logs, LLM prompts, test databases and support tickets — places it was never supposed to be.
Data privacy control planeOne 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.
Dozens of teams ship APIs and events, no two alike — reviews take days, and the standards live in a wiki nobody reads.
API & event integration fabricGovern, 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.
Every release is all-or-nothing: one bad deploy reaches every customer at once, and rolling back means another deploy.
Feature flags & rolloutsCreate 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.
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.
See all services →Map where sensitive data reaches LLMs, logs and telemetry today — and leave with a concrete containment plan.
Discuss this engagement →Assess your API and event landscape against enterprise governance standards, with a prioritized gap list.
Discuss this engagement →A short architecture engagement that turns a legacy estate into a sequenced, costed modernization roadmap.
Discuss this engagement →A fixed-scope build with our senior pod — see the delivery model on something real before committing further.
Discuss this engagement →A self-serve 7-day trial workspace plus a working session with the engineers who built it, on your use case.
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RBA SystemsTexas · India