FlashQuery is your containerized AI control plane that connects your applications to language models, enterprise data, and governance policies — so you can ship AI features without building AI software infrastructure.
Trusted by forward-thinking enterprises
Organizations adopting generative AI face systemic challenges that models alone can't solve. The real barriers are integration, governance, and control.
Sensitive enterprise data cannot leave your security boundary. Direct LLM API calls risk exposing proprietary information to external providers.
Regulated industries need audit trails, policy enforcement, and provenance tracking. Ad-hoc AI stacks have no centralized controls.
Enterprise AI must be reliable. Without validation, retrieval grounding, and evaluation, AI outputs can erode trust and create liability.
Every team building its own RAG pipeline creates fragmented, inconsistent AI stacks that are expensive to maintain and impossible to govern.
Tightly coupling to a single model provider creates strategic risk. Organizations need the flexibility to switch models without rewriting applications.
Building AI infrastructure from scratch delays AI feature delivery by months. Product teams need a ready-made platform, not a science project.
FlashQuery sits between your applications and AI infrastructure — orchestrating retrieval, enforcing policy, and abstracting model complexity into simple, governed APIs.
Your apps invoke assistants or AI tasks through a standard API — no direct model calls, no custom RAG code.
FlashQuery authenticates the request, resolves tenant and user context, and applies FlashGuard governance policies.
Knowledge bases are queried, vector + structured data is retrieved, and context is assembled within authorized data boundaries.
The generation model produces a response; a secondary model evaluates accuracy against retrieved context before delivery.
Outputs are filtered, scored, and returned — with full trace, metrics, and policy event logging for audit.
A unified platform that replaces fragmented AI tooling with enterprise-grade orchestration, governance, and observability.
Managed ingestion, vector indexing, hybrid retrieval, and context assembly across enterprise data sources. AI responses grounded in authoritative data.
Route between self-hosted or commercial LLMs without application changes. Swap models, add fallbacks, and stay vendor-agnostic by design.
Dual-model validation evaluates AI outputs against retrieved context before delivery, producing confidence scores and reducing hallucination risk.
Role-based data access, tenant isolation, and in-boundary execution. Data stays in your environment; models access only authorized context.
FlashGuard policies enforce PII filtering, content restrictions, prompt controls, and output constraints across every AI interaction automatically.
Full traces, metrics, evaluation scores, and policy events for every AI request. Dashboards, audit logs, and insights to monitor and improve AI behavior.
Map enterprise identities into fine-grained AI permissions. Isolate tenants, scope knowledge bases, and enforce least-privilege access at every layer.
Pre-configured, governed AI endpoints — chat assistants with embedded safety checks, plus reusable AI tasks for summarization, classification, and Q&A.
Persistent memory, multi-agent workflows, continuous automated evals, and sovereign model stacks — all under the same governance envelope.
Whether you're a SaaS vendor, a regulated enterprise, a data center, or a systems integrator — FlashQuery adapts to your architecture and requirements.
You need to ship AI features fast, across a multi-tenant SaaS architecture, while keeping customer data isolated and your compliance posture intact. FlashQuery is the AI backend that scales with your product.
Your organization has valuable proprietary data, but sending it to external AI services isn't an option. FlashQuery runs inside your infrastructure, connecting your applications to AI while keeping data exactly where it belongs.
Healthcare, finance, government, insurance, and legal organizations face strict requirements around data handling, auditability, and output control. FlashQuery embeds compliance into the AI execution path itself.
Your customers' data already lives in your facilities. When they adopt AI through external cloud services, you lose architectural relevance. FlashQuery lets you bring governed AI to where the data already resides.
Every client engagement shouldn't start from scratch. FlashQuery gives your AI practice a reusable architecture foundation — reducing delivery risk, accelerating timelines, and providing built-in governance your clients expect.
FlashGuard is the governance engine embedded in every FlashQuery deployment. Define AI policies centrally, enforce them locally, and maintain visibility across all your AI interactions — without slowing teams down.
From request to response, every AI interaction follows a consistent, governed, and observable pipeline.
Application invokes an assistant or AI task via API
Authenticate, resolve tenant context, apply governance rules
Query knowledge bases, assemble context from authorized sources
Model produces response; secondary model evaluates accuracy
Filtered, scored, and logged — with full trace and audit trail
FlashQuery isn't a model gateway or a RAG library. It's the governed AI substrate that becomes part of your enterprise architecture.
APIs give you model access. FlashQuery adds retrieval, identity, governance, and observability — everything you need for production AI.
Vector-DB-centric stacks handle retrieval. FlashQuery adds policy enforcement, multi-tenancy, model abstraction, and evaluation on top.
Gateways route model calls. FlashQuery governs data, context, and outputs — not just traffic.
Custom platforms take months and lack standardization. FlashQuery ships in weeks with governance, observability, and multi-tenancy built in.
Hear how forward-thinking technology leaders are thinking about governed enterprise AI.
"We needed a way to add AI to our platform across 200+ customer tenants without building separate pipelines for each. FlashQuery gave us the multi-tenant AI layer we couldn't build ourselves in any reasonable timeframe."
[Placeholder — Enterprise SaaS Company]
"Our compliance team wouldn't approve AI without full audit trails and PII controls. FlashQuery's governance layer was the deciding factor — we went from blocked to deployed in weeks."
[Placeholder — Financial Services Firm]
"As a data center, we were watching AI shift workloads to cloud providers. FlashQuery let us offer sovereign AI services to our customers — keeping data and processing in our facilities."
[Placeholder — Private Cloud Provider]
See how FlashQuery can centralize, secure, and accelerate AI across your organization. Schedule a personalized demo with our team.