• No-code simplicity for business users
  • Pro-code control for engineering teams
  • Enterprise governance built in from day one
  • Model-agnostic · 100+ integrations · SOC 2 Type II

The AI Agent Platform Built for Enterprise Scale

Build, deploy, and orchestrate intelligent AI agents on a single unified platform. The same platform powers a five-agent customer service deployment and a 500-agent enterprise AI programme — with identical governance controls, security certifications, and observability infrastructure throughout.

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Six Layers. One Unified Platform

AI Hive's architecture follows a six-layer model derived from enterprise delivery experience across 500+ projects. Each layer is independently configurable — swap your LLM provider, add a new integration channel, or tighten governance controls — without rebuilding adjacent layers. The platform runs as multi-tenant SaaS or single-tenant on your own infrastructure.
Layer 1

Data Connectors

SharePoint, OneDrive, Google Drive, Amazon S3, Snowflake, and all major CRM/ERP systems — bi-directional, field-level pe

Layer 2

AI Models

OpenAI, Anthropic, Meta Llama, Mistral, Groq, Gemini, Deepseek, Kimi, Deepgram, ElevenLabs — switchable per agent

Layer 3

Pre-built Interfaces

Chat widget, mobile app, BaaS platform, web app, custom API, voice bot, robotics integration, social chat (Facebook, Tik

Layer 4

Data sovereignty

Planning, short/long-term memory, ReAct/tool calling, multi-step orchestration, proactive engagement

Layer 5

Governance

AI guardrails, PII masking, RBAC, group management, SSO — all configurable without code

Layer 6

Governance & Compliance

SharePoint, OneDrive, Google Drive, Amazon S3, Snowflake, and all major CRM/ERP systems — bi-directional, field-level pe

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Agent Studio: Build Any Workflow Without Writing Code

Agent Studio is the visual design environment at the centre of AI Hive. Drag-and-drop canvas with 50+ pre-built action blocks — LLM calls, API requests, conditionals, loops, data transforms, notification sends. Build complex multi-step agents in minutes. Switch to Python code view at any point. Full version control. One-click rollback.

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50+ action blocks covering

LLM calls, data lookups, conditionals, loops, API actions, email/SMS sends, database writes

Prompt IDE with versioning and A/B testing

Prompt IDE with versioning and A/B testing — test prompt variants against live production traffic

AI-assisted design

describe your agent in plain English, get a first-draft workflow instantly

Version control and rollback

Version control and rollback — every save recorded, production rollbacks complete in seconds

Template library

500+ Marketplace templates as customisable starting points

Per-agent

Per-agent model selection — different agents in the same workflow can use different models simultaneously

Bring

Your Own Model (BYOM) — any model exposing an OpenAI-compatible API endpoint integrates directly

Cost comparison

run the same query against GPT-4o, Claude, and Llama side-by-side and see cost and quality differences in the analytics dashboard

Model-Agnostic. Your LLM Choice. Always.

AI Hive does not lock you into a single AI provider. Every agent runs its own model. Switch providers with a single configuration change and zero re-deployment. Bring Your Own Model (BYOM) support means you can run open-source models on your own GPU infrastructure — no per-token API cost, complete data sovereignty.

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Governance Built In — Not Bolted On

Enterprise AI governance is not a feature — it is a design constraint. Every AI Hive deployment ships with configurable guardrails, automatic PII detection for 40+ entity types, RBAC down to the individual integration and agent level, and group management. SSO with Okta, Azure AD, and Google Workspace. No separate governance tool needed.

AI guardrails

Content filtering with configurable sensitivity thresholds — bias, harmful content, off-topic responses — scored per output

PII masking

40+ entity types (names, emails, credit cards, NHS numbers, SSNs) detected and masked before data reaches any external LLM API

RBAC

Role-based access control at workspace, agent, integration, and data field level — no agent can access data outside its permitted scope

SSO & SAML 2.0

Integrates with Okta, Azure Active Directory, Google Workspace — mandatory MFA, IP allowlisting, configurable session timeouts

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Real-Time Analytics Across Every Agent

You cannot manage what you cannot measure. AI Hive provides a single analytics dashboard for every agent in production — real-time performance metrics, LLM token costs per interaction, custom ROI calculator mapped to your KPIs, and Conversation Replay to debug any past interaction without reproduction. A/B testing lets you compare agent versions against live traffic.

Real-time performance

response time, accuracy, throughput, error rate — live for every production agent

LLM cost tracking

per-agent, per-interaction, per-model cost breakdown — see exactly where your AI budget is spent

Conversation replay

step through any past interaction to find the exact point of failure without re-triggering the issue

Custom ROI

define your own KPIs — cost saved per resolved ticket, time saved per document — and track daily against baseline

Automated alerts

Slack, email, or PagerDuty notification when accuracy, cost, or latency crosses your threshold

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Deploy Anywhere. SaaS, Private Cloud, or On-Premise

The same platform binary runs in three deployment modes. Upgrade or migrate between modes without rebuilding agents or retraining teams. Most enterprises start with cloud SaaS and graduate to private cloud or on-premise as data sovereignty requirements mature

Cloud SaaS

Multi-tenant. Start immediately. 99.9% uptime SLA. All infrastructure managed by AI Hive. Best for: standard enterprise deployments without strict data residency requirements

Private Cloud

Deploy inside your own VPC (AWS, Azure, or GCP). Customer-owned compute. AI Hive manages the application layer. Best for: enterprises needing data isolation but preferring cloud economics

On-Premise / Air-Gapped

Full deployment within your own data centre or air-gapped environment. Local LLM inference supported. Zero traffic to AI Hive after deployment. Best for: BFSI, healthcare, government, defence

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Transparent Pricing from $1,500/Month

No hidden fees. No mandatory professional services. No surprise usage charges. Every plan includes a 14-day free trial and 90-day ROI guarantee. Starting at $1,500/month versus $300,000+/year for enterprise incumbents like Kore.ai. Add AI Engineers for Hire at any time without changing your platform plan.

Starter
From$1,500/month
Core Features:
  • Up to 5 active agents
  • Core integrations
  • Basic analytics
  • Email support. For teams starting their first AI agent deployment
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Growth
$3,000/month
Core Features:
  • Core Features:
  • 100+ enterprise integrations
  • Full analytics
  • REST API
  • Multi-agent orchestration
  • Priority support. Most common choice for mid-market deployments
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Enterprise
Custom
Core Features:
  • Core Features:
  • All integrations
  • Dedicated success manager
  • On-premise or private cloud option
  • White-label licensing. Custom SLA and contract terms
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Ready to Scale Enterprise AI?

Deploy your first agent in days, not months. 500+ enterprises already use AI Hive in production.

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