Live
Agent Control Plane
Launch, trace and govern autonomous agent runs from a single console.
AgentsOpen
NewFree trial — run agents today
Autonomous AI agents,engineered for production
BAI Technologies designs, ships and operates enterprise-grade agent systems — grounded in your data, governed by policy, and orchestrated across OpenAI, Anthropic, Gemini, LangGraph and MCP. From first prototype to regulated production in weeks, not quarters.
- Model-agnostic orchestration
- VPC & on-prem deployable
- Full observability & audit
- Human-in-the-loop by design
- 40+
- Agent workloads in production
- 60+
- Enterprise integrations shipped
- 99.9%
- Target platform uptime
- 4-8x
- Avg. workflow ROI (pilot)
agent_pipeline.run
live- 1Ingestrunningdocuments/stream
- 2Retrievequeuedpgvector · top-k 12
- 3Reasonqueuedorchestrator · 3 tools
- 4Actqueuedwrite-back · guarded
- 5Monitorqueuedtraces · evals
00:00.0[system]run started · agent=ops-resolver v2.4
…
1,284
runs today
82ms
p50 latency
0.0k
tokens
Built with the technology stack trusted by leading AI teams
OpenAI
Anthropic
Google Gemini
Meta
Hugging Face
LangChain
FastAPI
Next.js
Python
TypeScript
PostgreSQL
Redis
Docker
Kubernetes
AWS
CloudflareThe problem
Why most enterprise AI never reaches production
The gap isn't model quality — it's everything around the model.
The reality
Where pilots break down
- Pilots stall before productionPrototypes work in demos but break under real load, security review or integration with systems of record.
- No accountability layerTeams can't explain why an agent acted, can't reproduce failures, and can't pass audit.
- Tooling sprawlNotebooks, vector stores, prompt files and shadow deployments — without a control plane to govern them.
- Generic models, specific problemsOff-the-shelf chatbots can't reason about your data, your workflows, or your customers.
Our solution
How BAI closes the gap
- Agent control planeOne platform to orchestrate, observe and govern every agent in production.
- Grounded intelligenceRAG and graph memory that ties every answer to a verifiable source.
- Enterprise guardrailsPolicies, RBAC, audit and runtime safety baked in — not bolted on.
- Production from day oneReference architectures, MLOps and SLOs ship with every engagement.
Services
Enterprise-grade AI, end to end
Eight focused practices built to scale with your business.
AI Agent Infrastructure
LiveProduction-grade platforms to deploy, orchestrate and scale autonomous agents.
Autonomous AI Systems
Coming soonSelf-directed systems that plan, decide and act across complex workflows.
Custom AI Development
Coming soonBespoke models, copilots and intelligent backends, engineered to your domain.
AI Workflow Automation
Coming soonReplace repetitive ops with intelligent, self-monitoring workflows.
NLP & Conversational AI
Coming soonConversational interfaces that understand context, intent and tone.
Enterprise AI Integration
Coming soonEmbed AI safely into your existing ERP, CRM and data ecosystem.
AI SaaS Product Development
Coming soonEnd-to-end product engineering for AI-native SaaS companies.
AI Consulting & Strategy
Coming soonRoadmaps, ROI models and architecture for high-impact AI investments.
Platform tools
Every tool in the BAI platform
One control plane for building, running and governing enterprise AI agents — from live tools you can use today to what ships next.
Live
Run Tracer
Step-by-step execution traces with timings, inputs and outputs for every run.
OpsOpen
Live
Access Control
Role-based permissions — admin, operator and viewer — enforced server-side.
GovernanceOpen
Beta
Model Router
Route each step to OpenAI, Anthropic or Gemini with automatic fallback.
AgentsJoin waitlist
Beta
Knowledge Retrieval
Grounded RAG over your documents, warehouses and vector stores.
DataJoin waitlist
Beta
Tool & MCP Registry
Register APIs and MCP servers agents are allowed to call, with scoped auth.
AgentsJoin waitlist
Coming Soon
Policy Guardrails
Approval gates, PII redaction and hard limits before an action executes.
GovernanceJoin waitlist
Coming Soon
Evaluations
Regression suites and scorecards that gate every agent release.
Coming Soon
Workflow Builder
Compose multi-agent pipelines with human-in-the-loop steps visually.
AgentsJoin waitlist
Coming Soon
Connector Hub
Prebuilt connectors for CRM, ERP, ticketing and data warehouses.
DataJoin waitlist
Coming Soon
Cost & Token Monitor
Per-run token, latency and spend analytics with budget alerts.
Coming Soon
Audit Log
Immutable record of who ran what, when, and what the agent touched.
GovernanceJoin waitlist
Products
A modular product suite for production AI
Components that compose into the operating system for enterprise AI agents.
BAI Agent Platform
The control plane for enterprise AI agents.
- Visual agent designer
- Tool & API marketplace
- Memory and policy engine
- Full observability and evals
Workflow OS
Agentic automation for end-to-end business processes.
- Drag-and-drop agent workflows
- 300+ system connectors
- Human-in-the-loop steps
- SLA dashboards
Conversational Cloud
Voice and chat agents grounded in your knowledge.
- Multilingual voice & chat
- Knowledge connectors
- Brand tone & policy controls
- Quality & compliance analytics
Insight Engine
Autonomous research and analysis for decision-makers.
- Goal-driven research agents
- Source-grounded answers
- Live dashboards
- Custom briefings
Industries
Domain-aware AI for high-stakes sectors
Financial Services
Risk, compliance and client intelligence at machine speed.
Healthcare
Augment clinicians and accelerate operations safely.
Retail & E-commerce
Personalize every touchpoint across the customer journey.
Manufacturing
Intelligent operations from shop floor to supply chain.
Logistics
Optimize fleets, routes and exceptions in real time.
SaaS & Technology
Embed agents directly into the products you ship.
Education
Adaptive learning and operations at institution scale.
Government
Secure, accountable AI for public-sector outcomes.
How we work
A predictable path from idea to production
A seven-stage engagement model designed for enterprise rigor and shipping velocity.
01
Discovery
Use-case scoping, data audit, ROI modeling.
02
Architecture
Reference architecture aligned to your stack.
03
Prototype
Working POC on real data in 2–4 weeks.
04
Development
Production engineering with full MLOps.
05
Testing
Evals, red-teaming and load validation.
06
Deployment
Phased rollout with HITL and SLOs.
07
Optimization
Continuous evals, drift detection, iteration.
Enterprise ready
Six commitments your security team will recognize
The non-negotiables every BAI system ships with — by default, not as an upgrade.
Secure Architecture
Zero-trust networking, encryption end-to-end, hardened by design.
Data Privacy
Per-tenant isolation, regional residency, your data never trains foreign models.
Responsible AI
Bias evals, transparency, citations and accountable reasoning trails.
Scalable Infrastructure
Autoscaling agent runtime engineered for thousands of concurrent flows.
API-first Design
Every capability is a typed, versioned API your teams can compose with.
Human-in-the-loop
Configurable approval gates, override controls, and runtime kill switches.
Technology stack
Built on best-in-class AI infrastructure
A modern, model-agnostic stack that lets your teams choose the right tool for every problem.
Foundation Models
OpenAIAnthropicGeminiLlamaMistral
Agent Frameworks
LangGraphLangChainMCPAutoGenDSPy
Backend & APIs
FastAPINode.jsPythonTypeScripttRPC
Data & Memory
PostgreSQLpgvectorRedisNeo4jPinecone
Infrastructure
DockerKubernetesAWSGCPCloudflare
Observability
OpenTelemetryLangSmithDatadogGrafanaSentry
Case studies
Real systems shipping real outcomes
A snapshot of enterprise deployments — anonymized at customer request.
Financial Services
Underwriting copilot for a Series C lender
62%
faster credit decisions with full audit trails
Healthcare
Prior-authorization agents across 4 specialties
8.4×
throughput, zero compliance findings
Logistics
Autonomous exception handling across carriers
70%
of exceptions resolved without human triage
Customer voices
What teams say after going to production
"BAI moved us from a hand-rolled prototype to a governed agent platform our security team actually approved. The change was night-and-day."
Priya Raman
VP, Engineering · Fintech (Series C)
"We finally have an operational view of every agent decision. Evals on every PR, traces in production — the rigor we'd expect from any other tier-1 system."
Marcus Chen
Director of AI Platform · Global SaaS
"What stood out was the architecture-first approach. We weren't sold a model — we were sold a path to production."
Anita Kapoor
Chief Data Officer · Healthcare Network
Names and titles anonymized at customer request
Insights
Field notes from production AI
Architecture, governance and engineering lessons from real deployments.
Infrastructure
Why agent infrastructure is the next platform shift
Agents are moving from prototypes to production. Here's the infrastructure layer they need.
May 12, 20268 min read
ArchitectureDesigning autonomous systems for the enterprise
Planning, memory and guardrails — the architectural choices behind trustworthy autonomy.
Apr 28, 202610 min read
EngineeringRAG vs. fine-tuning: a 2026 decision framework
A practical decision tree for product teams choosing between retrieval and fine-tuning.
Apr 3, 20266 min read
FAQ
Questions, answered
The questions our prospective customers ask most often.
Ready to put production AI to work?
A 30-minute discovery call. We'll map your highest-leverage opportunities and outline a clear path to production.