Build AI Teams
That Work Together.
Design, orchestrate, deploy, and monitor intelligent AI agents that collaborate across your business to automate complex workflows.
Trusted by Enterprise Operations & Dev Teams Worldwide
Enterprise Agent Infrastructure
Everything you need to orchestrate multiple AI agents, manage vector memories, execute actions, and scale across pipelines.
Multi-Agent Collaboration
Allow specialized agents to negotiate, share state context, divide task pipelines, and resolve goals together.
Visual Workflow Builder
Design multi-agent paths using drag-and-drop nodes, loop execution conditionals, and custom validation gates.
Short-Term Memory
Preserve sliding session variables, active session states, and message histories across multi-turn agent chats.
Long-Term Memory
Allow agents to persist learnings, user preferences, and profile properties across weeks or months of operations.
Vector DB Integration
Connect to database clusters (Pinecone, Qdrant, Milvus) automatically for semantic indexing operations.
Knowledge Base (RAG)
Ingest PDFs, technical documentation, Notion docs, and web links to retrieve contextual data points.
Action API Tools
Equip agents with pre-built actions to trigger database queries, fetch weather tables, or send webhook payloads.
Browser Automation
Allow agents to securely navigate websites, input form fields, bypass checks, and scrape structured content tables.
Computer Use Agents
Instruct agents to navigate desktop OS workspaces, double-click files, and type inputs using screen telemetry.
Voice Conversational Agents
Build call-center handlers featuring sub-150ms real-time audio transcripts, emotional tones, and vocal hooks.
Vision AI Analysis
Enable visual nodes to inspect receipts, scan blueprint layouts, classify images, and extract charts.
Function Calling Gates
Generate structured JSON schemas automatically to trigger external program commands and script logic.
Human-in-the-loop (HITL)
Enforce review gates on sensitive actions like payouts, calendar invites, or data deletes before proceeding.
Agent Schedulers
Execute research reviews, audit logs, sitemap generations, or database cleanups on recurring cron triggers.
Task Queue Pipelines
Manage large asynchronous agent runs using fault-tolerant queues, dead-letter retries, and load managers.
Multi-Model Support
Assign GPT-4o for planner modules, Claude for code logic, and Llama-3 for quick sorting within a single pipeline.
Telemetry Dashboards
Track execution logs, token burn speeds, latency metrics, and API error spikes in real time.
Prompt Versioning Control
A/B test system prompt scripts, manage variable formatting, and track historical performance gains.
Multi-Agent Connection Pipeline
Click on any agent node below to inspect its system instructions, associated models, and integrated APIs.
You are the head orchestrator. Break down the user's objective into linear tasks. Dispatch tasks to Coder and Researcher, then compile outputs.
AI Agent Marketplace
Install pre-configured workflow agents with targeted roles and pre-built vector DB knowledge bases.
SupportSync Agent
Customer SupportAuto-resolve tickets, draft technical support replies, and query internal RAG documentation databases.
SalesIntake Agent
Sales AutomationQualify leads, research CRM updates, personalize outbound sequences, and auto-book calendar slots.
HRPortal Agent
HR OperationsScreen resumes, automate onboarding checklists, and query compliance manuals for policy details.
LedgerAudit Agent
Finance & AccountingReconcile invoices, flag transaction variance, track runway burns, and generate quarterly files.
JuristBrief Agent
Legal & ComplianceReview contract NDA terms, flag compliance drift, audit policies, and summarize legal files.
SEO Copywriter Agent
Marketing & GrowthDraft optimized blog posts, manage social handles, analyze keyword trends, and review copy specs.
DevCoder Agent
Software EngineeringWrite unit tests, fix security issues, refactor directories, and generate schema boilerplate.
LiteratureAudit Agent
Research & AnalysisSummarize research papers, fetch references, cross-verify data, and index citation formats.
QuantData Agent
Analytics & TelemetryQuery SQL databases, plot Recharts metrics, flag load anomalies, and trigger alerting slack updates.
MedClinician Agent
Healthcare IntakeHIPAA-compliant symptom review, summarize clinical notes, and coordinate appointment queues.
Live Telemetry & Analytics
Monitor GPU distribution loads, active prompt pipelines, token burn logs, and multi-agent network status in real time.
Token Burn Rate (T/s)
Runway Cost Analytics ($)
Enterprise Trust & Compliance
Deploy autonomous agents without sacrificing data privacy. We comply with major international regulatory frameworks.
SOC 2 Type II Certified
Rigorous independent audits validating operational security, availability, and processing integrity.
ISO 27001 Scopes
Comprehensive information security management system (ISMS) ensuring systematic threat oversight.
GDPR Privacy Compliance
Enforce strict data subject rights, consent rules, and local EU residency for PII variables.
HIPAA Data Isolation
Dedicated hosting environments and BAA agreements to handle Protected Health Information (PHI) securely.
End-to-End Encryption
Ensure agent connection messages and vector memory nodes are encrypted with AES-256 and TLS 1.3.
Role-Based Access Control
Fine-grained team permissions to manage prompt versioning, tool settings, and deployment gates.
Immutable Audit Logs
Track prompt histories, tool executions, and API actions in read-only logs for forensic auditing.
Secrets Vault Management
Encrypted keystores with automatic rotations to safeguard model tokens, DB hashes, and API parameters.
Zero Trust Architecture
Verify every access request across API boundaries, worker microservices, and VPC clusters.
Enterprise SSO Protocols
Enforce company credentials through SAML 2.0, OIDC, Okta, Microsoft Entra ID, and active directories.
Enterprise Client Success
Read how global engineering and operations teams deploy multi-agent squads to automate business processes.
RetinaCare Health
MedTech & Clinical SupportManual translation of complex scan files and doctors notes into patient briefings, causing high turnaround delays.
Deployed a RAG-backed pipeline with Vision AI and medical validation agents to automate patient report drafting.
Flexible Developer Plans
Choose a plan that fits your computational scaling. All plans feature prompt protection guidelines.
Starter
Ideal for individual developers building initial agent flows and testing RAG.
- Access to visual workflow builder
- Short-term session memory key
- Basic RAG data imports (up to 5 files)
- Multi-model execution pool
- Basic telemetry logs (3 days)
Professional
Best for growing software startups and automation squads deploying products.
- Everything in Starter
- Long-term memory state store
- Vector database connection pooler
- Sandboxed browser automation tools
- Human-in-the-loop validation gates
- Observability dashboard telemetry
Enterprise
Dedicated H100 computing, compliance architectures, and SLAs for corporate scale.
- Everything in Professional
- Dedicated model execution clusters
- Custom SSL & VPC subnet deployments
- HIPAA, SOC 2, and ISO certifications
- 99.99% Guaranteed SLA credits
- Prompts security auditing protocols
Frequently Asked Questions
Multi-Agent AI refers to a system design where multiple, specialized AI agents (each with its own prompt templates, LLMs, and tool configurations) collaborate to solve goals. For example, a Planner Agent divides a task, a Researcher retrieves details, and a Coder writes scripts. This divide-and-conquer approach vastly outperforms single-prompt LLM runs on complex goals.
We support OpenAI (GPT-4o, o1), Anthropic Claude (3.5 Sonnet, Opus), Google Gemini (1.5 Pro, Flash), AWS Bedrock nodes, Azure OpenAI, and open-source models like Llama-3 and Mistral via Hugging Face and Ollama.
Yes. Our workflow execution runtime, tool sandboxes, and database connection modules are fully open-source. You can self-host the core stack using Docker Compose or Kubernetes, though our hosted cloud offers multi-region latency optimizations.
Security is built in. All communication channels are TLS 1.3 encrypted, and databases support AES-256 encryption at rest. We do not train models on your context data, and we support ISO 27001, SOC 2, HIPAA, and GDPR standards.
Yes, fully. The platform contains a native RAG engine that automatically ingests PDFs, Notion boards, web pages, and SQL schemas. It generates vector embeddings and syncs them with Qdrant, Pinecone, or pgvector.
Yes. We fully support Anthropic's Model Context Protocol (MCP) to let agents read contexts and call tools across unified network boundaries securely.
Yes. We provide official Helm charts and Operators to deploy the orchestration engine, task queues, and sandbox worker nodes on Kubernetes (EKS, GKE, AKS, or bare metal).
Yes. You can trigger workflows, dispatch data payloads, monitor token counts, and inspect agent chat histories programmatically via our REST endpoints or Node.js/Python SDKs.
Ready to Build Your AI Team?
Schedule a platform walkthrough, explore dedicated cluster options, or reach developer support.
Support & Inquiries
Developer Documentation
Avoid appointment delays. Read our SDK configurations, prompt guidelines, vector db triggers, and deployment checklists.