aiXplain

What aiXplain does

aiXplain is an agentic AI platform purpose-built for enterprises to build, orchestrate, and govern intelligent AI agents at scale. The platform empowers teams to create compliant, adaptable agents that collaborate with humans, augmenting decision-making and execution. Its vendor-agnostic stack can be deployed on any infrastructure and acts as a centralized control system for the entire AI lifecycle, equipping various roles with tools to develop, deploy, monitor, and govern agentic systems with transparency and operational control. aiXplain aims to democratize AI by making it accessible to businesses and individuals, offering pre-configured and customizable agents, guardrails for safe behavior, seamless data access with policy compliance, and an open marketplace of curated AI assets. It supports fast iteration from concept to deployment across cloud, on-premises, and edge environments, with advanced tools for fine-tuning and benchmarking.

Products

• aiXplain StudioA no-code platform for designing autonomous, governed AI agents and building scalable AI systems with ease. It allows users to build and deploy end-to-end custom AI solutions without platform-switching, launching solutions through a single API endpoint.
• Bel EspritAn Agentic AI application that transforms written prompts into deployable AI solutions, acting as a personal AI solution architect.
• aiXplain SDKA robust toolkit enabling developers to access aiXplain’s assets and tools in a standardized format, allowing easy building of AI agents and AI pipelines.
• Media MonitorA pre-built, customizable, multi-agent AI solution for spotting trends, analyzing sentiment, and monitoring multilingual media in real-time for actionable insights.
• HR ManagerA pre-built, customizable, multi-agent AI solution for defining roles, evaluating candidates, and orchestrating the entire hiring process with AI-powered precision for faster, fairer, and more consistent decisions.
• BI AnalystA pre-built, customizable, multi-agent AI solution that uses natural language to analyze data, uncover insights, and provide on-demand recommendations to optimize operations and drive decisions.
• RFP StreamlinerA pre-built, customizable, multi-agent AI solution to speed up the RFP process with AI-powered precision for faster, smarter, and more compliant proposals.
• TPM Co-PilotA pre-built, customizable, multi-agent AI solution to plan, staff, and orchestrate complex programs in real time with AI-powered precision for explainable, actionable insights.
• Executive AssistantA pre-built, customizable, multi-agent AI solution to manage emails, meetings, and documents seamlessly with AI that understands context, remembers details, and delivers insights.
• MentalistAn embedded micro and meta agent that understands goals and creates an execution plan.
• OrchestratorAn embedded micro and meta agent that routes tasks and coordinates subagents.
• BodyguardAn embedded micro and meta agent that secures business data with role-based access controls.
• InspectorAn embedded micro and meta agent that validates quality, feasibility, and compliance.
• ResponderAn embedded micro and meta agent that enforces response validation against the valid schema.
• EvolverAn embedded micro and meta agent that improves the agent based on feedback and benchmarks.

Key capabilities

• Flexible development (code or no-code)
• Integrated marketplace (LLMs, tools, integrations, pre-built agents)
• Dynamic routing and RAG support
• No vendor lock-in (swap LLMs and tools)
• Team workspaces and shared assets
• Role-based access to models, tools, and configurations
• True on-prem support (air-gapped and sovereign infrastructures)
• Auto-scaling and session isolation
• Resilient execution (timeouts, retries, fallback logic)
• Production-grade performance optimization (load balancing, warm starts, static endpoints)
• Granular access controls (IAM and RBAC)
• Full audit visibility (real-time logs, traceable agent runs, immutable audit trails)
• Centralized policy management
• Built-in compliance enforcement (filters, PII redaction, SOC 2-ready controls)
• Adaptive Orchestration (self-monitor, self-optimize, enforce compliance)
• Conversation memory (14-day retention)
• Sandboxed execution
• Instant deployment
• 180+ LLMs and 300+ ready-to-use AI assets
• Automatic LLM routing
• Bring your own tools and MCPs
• API access
• Vector stores and knowledge graphs
• IR engine (any embedding model)
• Knowledge graph traversal
• Text and image embeddings
• SQLite databases
• Agent monitoring
• Audit logs
• Multi-team workspaces (coming soon)
• Team roles and permissions
• Custom role-based permissions
• Rate limiting
• Scoped API keys
• Bring your own keys (BYOK)
• Data privacy (no storage/logging of prompts/responses for model training)
• 256-bit AES and TLS encryption
• Multi-factor authentication (MFA)
• SAML single sign-on (SSO)
• Standard (SaaS) deployment
• Private (On-prem/VPC) deployment
• Dedicated compute provisioning
• Compute service management
• aiXpert implementation team
• aiXplain Academy
• aiXpert certification
• Proximity deployment (Azure, GCP, Oracle, NVIDIA partners)
• Dedicated VPNs for customer infrastructure
• Granular API monitoring
• Compliance-aligned AI guardrails

Use cases

• Building and orchestrating intelligent AI agents
• Governing AI agents at scale
• Prototyping AI use cases
• Running live production AI workloads
• Designing AI pipelines with no-code to generate AI-powered API endpoints
• Evaluating, improving, and scaling AI solutions for AI scientists
• Building AI business solutions for executives
• Spotting trends, analyzing sentiment, and monitoring multilingual media
• Defining roles, evaluating candidates, and orchestrating hiring processes
• Analyzing data, uncovering insights, and getting on-demand recommendations
• Speeding up RFP processes for faster, smarter, and more compliant proposals
• Planning, staffing, and orchestrating complex programs in real time
• Managing emails, meetings, and documents seamlessly with AI
• Enhancing translation accuracy with AI agents
• Transforming aviation industry's internal document management
• Enhancing diagnostic accuracy in healthcare with AI chatbots
• Social sciences research with data analysis through Arabic tweets
• Revolutionizing child education with advanced AI

AI approach

aiXplain provides an agentic AI platform for enterprises to build, orchestrate, and govern intelligent AI agents. It offers a marketplace of 40,000+ ready-to-use AI models, LLMs, and datasets from over 40 suppliers, and allows users to bring their own. The platform supports no-code and code development, multi-agent architectures, RAG, and fine-tuning. It emphasizes vendor-agnostic deployment and governance with features like audit trails and compliance enforcement. aiXplain also develops pre-built, customizable multi-agent AI solutions for various business functions.

Tech named: AI Agents, Agentic AI Systems, Multi-Agent Orchestration, LLM and Tool Integration, Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Speech Processing, Speech Recognition, Computer Vision, Machine Learning, Fine-Tuning, Signal Processing, Benchmarking, Multi-Agent Systems, AI Development (No-Code and Code), SDKs, APIs, Vector stores, Knowledge graphs, IR engine, Embedding model, Knowledge graph traversal, SQLite databases, LLMs (OpenAI, Claude, Amazon Bedrock), AI chatbot, AI-powered content summarization, question-answering capabilities, aiXplain information retriever (aIR)

Industries served

• Technology
• Information and Internet
• Translation Services
• Aviation
• Healthcare
• Social Sciences
• Education

What it says sets it apart

• Agentic AI platform purpose-built for enterprises
• Vendor-agnostic stack deployable on any infrastructure
• Centralized control system for the entire AI lifecycle
• Empowers teams to create compliant, adaptable agents that collaborate with humans
• Equips every role with tools to develop, deploy, monitor, and govern agentic systems with full transparency and operational control
• Fast paths to deployment across cloud, on-premises, and edge environments
• Advanced tools for fine-tuning and benchmarking agent performance
• Open marketplace with 40,000+ ready-to-use AI models, LLMs, and datasets from 40+ suppliers
• SOC 2 Type I & II compliant
• Does not store, log, or use prompts/responses for model training
• Fine-tuned and customized models remain fully private and are never shared with third parties
• Flexible deployment options: multi-tenant cloud, dedicated infrastructure, private cloud/on-prem, proximity deployment
• All data encrypted in transit and at rest
• Dedicated VPNs for customer infrastructure
• Granular API monitoring
• Compliance-aligned AI guardrails for automated safeguards
• Adaptive Orchestration with embedded micro and meta agents (Mentalist, Orchestrator, Bodyguard, Inspector, Responder, Evolver)
• Revenue-sharing, certified contributor model for aiXperts

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.