Altilia

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

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

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

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

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

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

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

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

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 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

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

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

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

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