Skip to main content
Version: 1.0

aiXplain Agentic OS

Build, deploy, and evolve AI agents with built-in governance

aiXplain's Agentic OS is a full-stack platform for creating AI agents—from autonomous single agents to coordinated multi-agent systems. Build with code or no-code, deploy instantly, and maintain control with built-in governance and continuous optimization.

Build AI Agents​

aiXplain agents are autonomous systems that reason, plan, and act to accomplish tasks—from simple automation to complex multi-agent orchestration. They adapt dynamically through planning and reflection, handling everything with built-in governance.

aiXplain agents solve for:

Ambiguity

Open-ended questions, unstructured input, and vague goals requiring interpretation

Learning and Evolution

Continuous optimization for efficient execution and personalization

Long-Horizon Tasks

Research and analysis spanning hours or days with continuous re-evaluation

Resource Constraints

Cost, time, and token budget awareness with dynamic optimization

Reflection and Review

Quality control and iterative refinement

Rule Enforcement

Policy compliance and validation at runtime

They can:

  • Interpret goals from natural language and unstructured input
  • Switch strategies mid-execution when plans fail
  • Track and optimize for cost, time, and token budgets during execution
  • Coordinate multiple specialized agents for complex tasks
  • Explain reasoning and present tradeoffs for human collaboration

Use agents for:

  • Q&A with retrieval (Agentic RAG)
  • Task automation with tools
  • Complex workflows requiring multiple specialized skills
  • Conversational interfaces with memory
  • Research and analysis pipelines
  • Cross-functional automation with quality validation

→ Explore the agent concepts guide to understand single agents vs. team agents

Autonomous Agents: Beyond Automation​

aiXplain agents are problem-solving systems that adapt to ambiguity and change—going beyond what traditional automation can handle.

What makes agents different:

  • Interpret vague goals and unstructured input dynamically
  • Choose strategies and tools based on context, not scripts
  • Evolve behavior automatically without manual reconfiguration
  • Handle long-running, multi-day tasks with continuous re-evaluation

When to use agents vs. pipelines:

  • Agents – For ambiguous, judgment-heavy tasks requiring adaptation
  • Pipelines – For repeatable workflows with fixed steps and predictable inputs

aiXplain supports both: autonomous agents for problem-solving and pipelines for deterministic automation. Use pipelines as tools within agents for maximum flexibility.

Enterprise value: Higher resilience, greater coverage of complex tasks, lower maintenance burden.

Choose Your Development Approach​

Build agents your way—whether you prefer visual interfaces or code-first development.

Code via Python SDK

Define and deploy agents programmatically with full control over configuration and integration.

**Best for:** Developers, complex integrations, automated deployment

No-Code via Studio

Configure agents through a visual interface: set instructions, add tools from the marketplace, and deploy with one click.

**Best for:** Product teams, business users, rapid prototyping

Types of agents you can build:

  • Content Generation Agent – Create marketing copy, reports, and creative content
  • Research Agent – Gather, analyze, and synthesize information from multiple sources
  • Knowledge Agent – Answer questions using company data and documentation
  • Database Agent – Query, analyze, and transform structured data
  • Automation Agent – Execute tasks, manage workflows, and integrate systems
  • Multi-Agent Systems – Coordinate specialized agents for complex tasks, reviews, and collaboration

With aiXplain, You Can​

Access 900+ Ready-to-Use AI Assets​

  • 170+ LLMs – GPT-4, Claude, Gemini, Llama, and more—all swappable via unified API
  • AI Models – Translation, OCR, speech recognition, sentiment analysis
  • Integrations – 600+ services (Slack, Google Drive, Salesforce) via Composio
  • Custom Assets – Bring your own models, APIs, or Python functions

No vendor lock-in – Use any model or infrastructure you choose

Browse Marketplace →

Make Your Data Agent-Ready​

Bring your own structured and unstructured data and connect it to agents through vector stores and knowledge graphs.

You can:

  • Index documents, PDFs, and unstructured content for semantic search
  • Build knowledge graphs for structured reasoning and entity relationships
  • Connect vector databases for retrieval-augmented generation (RAG)
  • Query SQL databases, CSV files, and NoSQL stores directly from agents
  • Combine multiple data sources in a single agent workflow

Your data becomes queryable, contextualized, and accessible to agents—enabling knowledge agents, research agents, and database agents that understand your business.

Deploy Anywhere​

  • Multi-tenant cloud – Instant deployment on aiXplain infrastructure
  • Dedicated cloud – Private instances with custom SLAs
  • On-premises – Containerized deployment in your environment
  • Hybrid – Run agents on-prem while accessing marketplace assets
  • VPC – Private network deployment with full isolation

All agents are containerized and portable across environments.

Deployment Options →

Govern with Built-In Controls​

aiXplain's unique micro-agents separate platform concerns from business logic:

  • Planner – Autonomous task decomposition and agent coordination
  • Inspector – Runtime policy enforcement and content validation
  • Orchestrator – Intelligent routing and execution management

You can:

  • Enforce policies at runtime without custom code
  • Validate inputs/outputs for safety and compliance
  • Audit all agent decisions and actions
  • Set usage quotas and rate limits

Micro-Agents →

Optimize Continuously​

Evolver meta-agent monitors performance and automatically improves agents over time:

You can:

  • Let agents improve autonomously without manual tuning
  • See benchmark comparisons of agent variants
  • Review evolution reports showing what changed and why
  • Approve improvements before deployment (optional)

Monitor Everything​

Full visibility into agent behavior and performance:

You can:

  • Trace every reasoning step and tool call
  • Track costs per execution with credit breakdown
  • Monitor performance metrics (latency, quality, API calls)
  • Access live dashboards in console.aixplain.com

Get Started​

Pricing & Credits​

How Credits Work:

  • 1 credit = $1 USD
  • Example: 1 credit ≈ 1,500 API calls to GPT-4o Mini
  • Builder plan – Pay-as-you-go via Google Pay or credit card
  • Team plan – Subscription for high-volume usage

Pricing:

  • Direct model usage at vendor rates (no markup)
  • Deployed agents: vendor rates + 20% service fee
  • Enterprise: Custom pricing with SLAs

View detailed pricing →

Security & Compliance​

  • SOC 2 Type I & II compliant
  • Data encrypted at rest and in transit
  • Zero data retention – Never stored or used for training
  • Full API logs and execution tracing
  • Inspector-based policy enforcement

Learn more about security →

Where to Get Help​