- Gartner® Magic Quadrant™ 2026
Archeiothiki cited an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Intelligent Document Processing
AI Flows®, Archeiothiki’s proprietary Intelligent Document Processing (IDP) platform, has been named an “Honorable Mention” in Gartner’s 2026 research on the IDP market.
On 8 September 2026, Gartner published its Magic Quadrant™ for Intelligent Document Processing. The report evaluates fifteen vendors and named four additional providers as Honorable Mentions. According to Gartner those four providers are noteworthy; they could be appropriate for clients, contingent on their requirements. Archeiothiki is one of the four, and the only Greek company in the 2026 Magic Quadrant report in general.
“AI Flows® is a software developed by Archeiothiki that enables automated process management and workflow optimization through the integration of artificial intelligence technologies. The software is designed to streamline business operations by automating tasks and facilitating seamless data exchange between different systems. It features tools for workflow creation, monitoring, and analytics, allowing organizations to enhance operational efficiency and reduce manual intervention. AI Flows® addresses the business problem of process bottlenecks and inconsistent workflows by providing real-time insights and automation capabilities that support decision-making and process standardization across departments.”
For AI Flows®, this citation marks an important milestone. Following significant R&D investment since 2018, AI Flows® was launched in the Greek market in September 2024 as part of Archeiothiki’s strategic pivot to technology services. Two years later, its citation by Gartner marks an important step in the platform’s evolution.
- AI Flows®
Built for where IDP is going
- The Evolution toward Composite AI Platforms
AI Flows® is designed to automate the ingestion, classification, extraction and validation of data from structured, semi-structured and unstructured documents and content.
Gartner describes the IDP market as transitioning from basic document content capture tools to autonomous, composite AI platforms that blend rules, machine learning, and vision-language models to enable goal-based execution and agentic workflows that accelerate time-to-value.
“Archeiothiki offers AI Flows®, its IDP platform for complex document workflow automation. The platform offers a composite AI approach for document classification and extraction and offers common document processing use case types as OOTB products. The platform can be deployed as SaaS, private cloud or on-premises.”
Gartner identifies four principal IDP use cases.
AI Flows® supports all four within a single platform.
Transactional document processing workflows
Single independent documents such as standard invoices, purchase orders, balance sheets or tax forms.
Interdependent document processing workflows
Cases such as KYC identification checks, insurance claims management, patient records, underwriting, loan and mortgage management.
Contextual intelligence workflows
Semantically enriched data to activate knowledge for agents and assistants — complex invoices by legals, bailiffs and notaries, and technical manuals.
Specialized document processing workflows
Documents formatted for a specialization, where the layout carries the meaning — from court decisions and cadastral records to insurance policies.
Moreover, the report lists mandatory and optional features for an IDP product. AI Flows® already entails full list of 7 mandatory, and majority of 13 optional features related to IDP.
- Extraction
- ModelOps
- Composable architecture
- Preprocessing
- Postprocessing
- Human in the loop
- Workflow orchestration
- Collaboration
- Data validation
- Flexible deployment
- Other language models
- Prebuilt downstream integrations
- Prebuilt upstream integrations
- Rich media / non-textual capture
- Workflow governance and management
- Agentic orchestration
- Centralized repository
- MLOps
- No/low code
- Third-party components
Under development or in the product roadmap.
AI Flows® also includes additional features beyond those listed above designed to serve customers’ needs such as:
- Splitting
- Analysis / reporting
- Redaction
- Handwritten recognition
- Few-shot learning
- Augmented reading (speech2text)
- Semantic search
For downstream and upstream integrations, AI Flows® has a production-ready public API for every integration. AI Flows® exposes its full document intelligence pipeline through a documented, versioned REST API, enabling clients’ engineering teams to integrate IDP capabilities directly into existing systems without lock-in, custom connectors, or lengthy system integration engagements.
- Context — IDP market overview
From document extraction to intelligent automation layer
Gartner’s 2026 Magic Quadrant focuses on an end-to-end solution approach that embeds the entire document processing life cycle within a single solution. The market for IDP continues to grow as the demand around document process automation increases.
Over the next three years, the IDP market will continue its evolution from foundational document extraction tooling into an end-to-end intelligent automation layer for document-driven workflows. As enterprise AI initiatives attempt to scale, the need for clean, validated data becomes a critical bottleneck. The market is also shifting toward autonomous “agentic IDP”.
- The research highlights important areas of development:
Cost Optimization & Contextual Layer
IDP platforms will dynamically route simple, high-volume transactional tasks to cheaper, deterministic ML models or domain-specific small language models (DSLMs), while reserving costly frontier LLMs strictly for complex reasoning and unstructured data extraction.
Multimodal and Agentic IDP
Enterprise unstructured data increasingly includes chat, audio and video, so vendors are expanding capture capabilities to handle these formats natively. The market is shifting toward autonomous “agentic IDP”, where AI agents do not just extract data, but actively make decisions, trigger downstream actions and self-optimize.
The Shift to AI-in-the-Loop
The market is progressing toward AI-assisted review and AI-in-the-loop ecosystems. Iterations leverage “LLM-as-a-judge” mechanisms to prepopulate corrections, validate cross-document consistency and automatically flag structural anomalies before a human ever sees the document.
End-to-End Solution Approach Versus Composable Cloud-Service-Based Approach
The 2026 Magic Quadrant focuses on an end-to-end solution approach embedding the entire document processing life cycle within a single solution. A composable cloud-service-based approach instead brings together different composable services — requiring technical expertise to build and maintain the solution from the ground up.
Recognition is a milestone. What we build next matters more.
The Gartner Honorable Mention is an important milestone for AI Flows® and Archeiothiki. Our focus remains on what comes next: building technology that turns complex unstructured information into trusted business data and helps organizations automate document and content related processes with greater speed, security, accuracy, control and sovereignty.
- Disclaimer
Gartner, Magic Quadrant for Intelligent Document Processing, 8 September 2026. Gartner does not endorse any vendor, product or service in its research publications, which express the opinions of its research organisation and are not statements of fact. GARTNER and MAGIC QUADRANT are registered trademarks of Gartner, Inc. and/or its affiliates.
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