Airia vs Altilia (2026)

An Integration Framework provides out-of-the-box connectors linking agents to software-as-a-service platforms, databases and customer relationship management systems, and Airia says agents connect to thousands of data sources and enterprise systems the customer already uses. Model Context Protocol support connects the customer's other systems to Airia, which leaves the set of tools open-ended. Agents run across any model, framework and data source. Airia does not publish a list of its connectors.

Sourceairia.com ai-platform overview and home pages, agent-builder pageread 2026-08-31

Pre-built connectors and an API-first architecture let AI assistants and robots be embedded across the customer's tech stack, from legacy systems to modern cloud applications, and agents take action on data. No individual connector, integration catalog or connector count is named for any application class. The platform is distributed through the Microsoft commercial marketplace. Documents and data are ingested from any source or format, including PDFs, emails, handwritten notes, scanned images and legacy databases.

Sourcealtilia.ai home, platform, why-altilia and modules pagesread 2026-08-31

A Routing Engine distributes tasks to the most appropriate model, agent or interface and is one of six integrated platform capabilities, there for operational reliability. Teams design collaborative agent systems that execute complex workflows and stay visible, manageable and resilient as they grow in scope, with no-code creation and pro-code extension in one controlled environment and reusable logic patterns that reduce policy drift. Agents are orchestrated across models, frameworks and data sources end to end. Airia does not name branching, looping or conditional control-flow primitives.

Sourceairia.com ai-platform agent-builder, ai-platform overview and frequently-asked-questions pagesread 2026-08-31

Agent workflows are designed with visual scripting, automating and sequencing actions and connecting data sources with fine-tuned models, chains and processing functions, alongside skills, which are process orchestration tasks built in the low-code interface.

The platform provides governable agentic orchestration and ontology-driven workflows that coordinate agents across departments, with agents shipping as assistants or autonomous robots within the same workflow model. Independent analysts describe the agents-and-skills combination as providing robotic process automation capabilities. No branching, looping, conditional or parallel control-flow construct is named, and no failure or retry behavior is described.

Sourcealtilia.ai platform, agents and home pages, Intellyx analyst briefread 2026-10-05

Users schedule deployed agents from the Catalog to run automatically at specified times, one-time or recurring. Security Event Triggers start an agent the moment a security event fires in Airia, and an Airia Agent Trigger starts agents from data source activity. People also reach agents through the Airia Catalog interface, an API interface, chat, a browser extension and voice.

Sourceairia.ai/docs airia-chat/capabilities/scheduling, build/triggers/security-event-triggers and integrations agent-triggerread 2026-09-29

Agents are triggered by document and data ingestion, with the platform ingesting and structuring data from any source or format, including legacy databases, emails, scanned images and forms, and an API-first architecture lets agents embedded in customer applications be invoked programmatically. No scheduled, cron or recurrence capability, inbound webhook or external event subscription is named, and no chat, email, messaging or embedded conversational channel reaches an agent beyond the in-platform Insights assistant.

Sourcealtilia.ai platform, home and modules pagesread 2026-08-31

Knowledge runs as an ingestion-to-retrieval pipeline over the customer's data sources, with scheduled syncs, ingestion settings, enrichment, knowledge graph extraction, custom knowledge graphs, vocabulary grounding for internal terms, hybrid semantic and keyword search with fusion and reranking, graph-enhanced retrieval and multi-hop or Text-to-SQL retrieval. Permissions are enforced on retrieved content.

Sourceairia.ai/docs build/knowledge pagesread 2026-09-29

The Knowledge Graph is the platform's core component, aggregating and organizing all company information and unifying structured, unstructured and physical document sources into a single coherent database. A hybrid neuro-symbolic architecture combines large and small language models with the graph and is described as GraphRAG with traversal reasoning.

Ingestion covers any source or format, including long complex documents, standardized forms, scanned images, handwritten notes, emails and legacy databases, transformed into semantic objects. Users interrogate the knowledge base in natural language and receive fact-based answers with source attribution, and RAG techniques retrieve and fine-tune LLMs and SLMs against enterprise knowledge. Accuracy above ninety-five percent on domain-specific tasks is vendor-reported.

Sourcealtilia.ai platform, home and why-altilia pagesread 2026-08-31

Memory Objects persist data such as user preferences, summaries and workflow state across agent executions. Each is created per project and scoped as global, user-specific or conversation-scoped, and agents write and read them through Memory Store and Memory Load steps or memory tools. Airia does not say how long memory lasts, when it expires or how to purge it.

Sourceairia.ai/docs/build/components/memoryread 2026-09-29

There is no memory store, session state or cross-run context. Continuous learning from human feedback, which Altilia describes as building training datasets, feeds the training loop.

Sourcealtilia.ai/platformread 2026-09-29

Agent workflows can pause for a person at Human in the Loop steps, which include an approval step, a Webhook Approval step that waits for an external approval callback, a Form Review step and a Pause Workflow Execution step. Agent Constraints and runtime guardrails bound what agents may access and output.

Sourceairia.ai/docs build/components human approval, webhook approval and form reviewread 2026-09-29

In a review and validation stage, people review and validate data classifications, extractions and AI-generated answers, and the feedback of human experts is integrated to enhance accuracy and control at key stages, with reviewed corrections feeding continuous learning. Agents ship in two forms, assistants that support human decision-making and robots that automate processes autonomously, so the autonomy level is a design-time choice. No confidence threshold routing uncertain items to review, action allowlist, or scope or spend limit is described.

Sourcealtilia.ai platform, agents and home pagesread 2026-10-05

Airia's controls include Security Posture Management, Agent Constraints governing data and tool access, a Routing Engine, Agent Red Teaming, AI Discovery for agent inventory, Responsible AI Guardrails, granular and role-based access controls, and centrally inherited agent policies governing model access, tool usage and deployment.

Airia also describes built-in alignment with GDPR, HIPAA, PCI DSS and SOC 2 (AICPA), FERPA and COPPA, ISO standards and the EU AI Act through automated policy enforcement and data protection controls. It says the fully managed SaaS is hosted on AWS, Azure and Google Cloud with SOC 2 Type II certified operations, without making clear whether that certification belongs to Airia or to its hosting. Airia names no audit firm, offers no way to request a report and publishes no assessment, and its trust center at trust.airia.com shows no certification content.

Sourceairia.com frequently-asked-questions, ai-platform security and deployment pages, agent-builder pageread 2026-08-31

Identity and Access provides secure access with RBAC, SSO and multi-tenancy, with guardrails on model and agent behavior, and the site footer shows ISO/IEC 27001, ISO/IEC 27017 and ISO/IEC 27018, plus ISO 9001, as certified. The security page describes the management system as aligned with those standards, which is consistent with holding the certificates, but no certificate or registrar is named.

Sourcealtilia.ai/platformread 2026-09-29

AI Discovery provides a full inventory of agents across the organization, including agents that were purpose-built, commercially adopted inside licensed software, or connected by employees without approval, and Airia says the same controls apply to all of them the moment it is deployed.

Unified analytics cover usage, cost and impact, with continuous real-time monitoring and audit-ready reporting. The platform automatically generates continuous governance documentation mapped to the EU AI Act, NIST AI RMF and SR 11-7, HIPAA, ISO 42001 and SOC 2, and promises complete visibility into each decision.

Sourceairia.com ai-platform security page, home page and ai-platform overviewread 2026-08-31

Auditability gives an end-to-end audit trail of every action and decision, and Observability gives real-time logging, monitoring and alerting, built into every platform module, alongside workflow and agent orchestration run step by step with monitoring and human validation.

Sourcealtilia.ai/platformread 2026-09-29

Airia can be deployed within the customer's own dedicated cloud environments, including Amazon Web Services with AWS GovCloud for United States government customers, Microsoft Azure including Azure Government Cloud, Google Cloud Platform and Oracle Cloud Infrastructure. The alternative is a fully managed SaaS deployment hosted on AWS, Azure and Google Cloud with a 99.9 percent uptime service level and automated backup and disaster recovery. Data sovereignty controls keep sensitive data within required geographic boundaries, and the agent builder supports flexible deployment models.

Sourceairia.com ai-platform deployment page, agent-builder pageread 2026-08-31

SaaS, private cloud and on-premises deployment are offered, which Altilia calls deployment sovereignty, with domain-tuned small and large language models served locally so inference runs inside the deployment rather than being sent to a hosted provider.

Data is kept within the customer's secure infrastructure, and customers retain ownership of data, models and assets. The company positions itself as a sovereign European platform competing with US hyperscalers.

No region selection within the SaaS offering, installation requirement, or statement of which components run customer-side in the on-premises mode is described.

Sourcealtilia.ai why-altilia, home and platform pagesread 2026-08-31

Builders start from trusted agent templates and reusable logic patterns that reduce policy drift and keep execution consistent across the enterprise, alongside no-code creation and pro-code extension in one governed environment. Policy templates are supplied as a separate kind of asset. Airia does not say how many templates there are or offer a catalog to browse them.

Sourceairia.com ai-platform agent-builder and ai-platform overview pagesread 2026-08-31

Customers can deploy ready-to-use agents for common use cases, including extracting data from invoices, orders and transport documents, or use the integrated development environment to create bespoke agents. A broader specialized set covers document classification by semantic context, data extraction from unstructured sources, semantic search and question answering with source attribution, summarization into reports, and generation of emails and operational content, and blueprints for common use cases are referenced.

Altilia lists 45 named agents across eight industries and a cross industry group, among them Credit Memo Drafting, Customer Onboarding Data Capture, Secured NPL Data Acquisition, Insurance Claims Management, the DORA Compliance Agent, Hospital Order Management and the Enterprise Search Agent, each with a line on the job it does. Customers reach them through a demo request rather than a self serve deploy button.

Sourcealtilia.ai/agents, platform and modules pagesread 2026-10-05

Agents are built and run across any model, framework and data source, with multi-model orchestration and bring-your-own-model flexibility. A Routing Engine, one of the platform's six core capabilities, automatically distributes tasks to the most appropriate model, agent or interface for operational reliability. A named customer says the platform lets them use any model within a guided and controlled environment. Every agent inherits centralized policies governing model access, so administrators decide which models are permitted and builders choose within that boundary.

Sourceairia.com home page, ai-platform overview, agent-builder and frequently-asked-questions pagesread 2026-08-31

The platform is model agnostic and runs any commercial or open-source model, with domain-tuned small and large language models served locally and model selection driven by cost and data type, which Altilia frames as customers owning their models.

RAG techniques retrieve and fine-tune LLMs and SLMs against enterprise knowledge, and AI agents trained on customer data remain the customer's intellectual property. Altilia positions model portability as the basis of its sovereign European alternative to hyperscaler platforms. No named provider list, model picker interface or automatic runtime routing between models is described.

Sourcealtilia.ai platform, why-altilia and home pagesread 2026-08-31

An API interface gives each agent programmatic access through a PipelineExecution endpoint that takes user input and user and conversation identifiers. API keys act as the user or as a service account with its own roles, and Airia publishes an API reference and a mobile SDK. Over MCP, Airia exposes its knowledge retrieval and connected tools to external AI clients such as Claude Desktop and Cursor.

Sourceairia.ai/docs build/interface-options/api-deployment, settings/developer/api-keys, developers-hub SDK pages and build/knowledge/guides/mcp-retrievalread 2026-09-29

AI agents connect directly into the customer's operations and applications through an API-first architecture, embedded across the tech stack from legacy systems to modern cloud applications. Simple SDKs are one of three first-class routes for building agents, alongside natural language and visual scripting. No API reference, endpoint list, authentication documentation, SDK package, developer portal or MCP server is published.

Sourcealtilia.ai home, platform and why-altilia pagesread 2026-08-31

Airia Evaluations measure agent and LLM application performance. A team creates an evaluation, selects up to three agents and their versions, imports test cases from CSV, and compares versions, prompt changes or model updates across hundreds of test cases on metrics such as context accuracy, answer relevance, latency and cost, to catch regressions before they reach users. Agent Red Teaming stress-tests agents separately.

Sourceairia.ai/docs/build/components/evaluate-agent-performanceread 2026-09-29

Monitoring and tracking of model performance spot inefficiencies, with continuous learning and improvement over time, alongside human review and validation of data classifications, extractions and AI-generated answers whose corrections feed the training loop. There is no held-out test set, recorded expected outputs, scored run, evaluation harness or comparison between agent versions. Accuracy above ninety-five percent on domain-specific tasks is vendor-reported.

Sourcealtilia.ai platform, why-altilia and home pagesread 2026-08-31

Agents act only through programmatic routes, which are an Integration Framework of out-of-the-box connectors to software-as-a-service platforms, databases and customer relationship management systems, Model Context Protocol support, and connections to thousands of enterprise data sources. Agent Constraints set which data and tools an agent may access, a permission model over those programmatic interfaces. Airia does not describe browser control, navigation, form filling, screen interaction, session automation or desktop capability.

Sourceairia.com ai-platform overview, security, agent-builder and frequently-asked-questions pagesread 2026-08-31

Altilia calls its autonomous agents robots, as distinct from assistants, and independent analysts describe the agents-and-skills combination as providing robotic process automation capabilities.

The mechanism is agents classifying, extracting, summarizing and generating against documents and a knowledge graph, reaching systems through an API-first architecture and pre-built connectors, not through interface operation. Computer vision and document analysis and recognition read scanned images and handwritten notes as part of document intake. There is no browser control, navigation, form filling, screen interaction, visual grounding or desktop automation.

Sourcealtilia.ai platform, agents and home pages, Intellyx analyst briefread 2026-10-05