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idp-software.com Editorial Team

Latvian intelligent document processing (IDP) provider offering a three-tier platform spanning self-service no-code workflows, enterprise document automation, and domain-specific AI agents for back-office operations.

Overview

Founded in 2020 and headquartered in Riga, Latvia, Graip.AI targets the full range of document-processing buyers through a deliberate product ladder: a self-service entry tier for small teams, a customizable enterprise tier for complex integrations, and an agent library for function-specific automation. The structure positions Graip.AI closer to platforms like Nanonets and Docsumo than to pure optical character recognition (OCR) specialists, with the agent layer pushing toward the agentic document processing space occupied by larger automation vendors.

Sergey Jermakov, COO at Graip.AI, frames the company's direction as a shift from traditional OCR and robotic process automation (RPA) toward autonomous agents capable of reasoning, validation, and cross-system decision-making. MarketsandMarkets projects the IDP market will reach $5.2 billion by 2027 at a 37.5% compound annual growth rate, a figure Graip.AI cites to contextualize its positioning. The backdrop matters: MIT Sloan Management Review found in 2025 that 95% of generative AI pilots in enterprises failed to deliver expected value or stalled before scaling. Graip.AI's emphasis on human-in-the-loop workflows and process maturity is a direct response to that adoption barrier.

The company claims 50-70% cost savings in back-office operations and holds three ISO certifications: ISO 27001 for information security, ISO 9001 for quality management, and ISO 22301 for business continuity. These certifications matter for buyers in regulated sectors such as fintech and healthcare, where data handling standards are a procurement requirement. No funding rounds, investor names, or employee counts have been disclosed publicly.

140+Languages supported
25+Document types processed
99%Claimed accuracy on domain datasets
3ISO certifications held

Customer reviews on G2 cover three distinct use cases: payment document processing during fintech customer onboarding, invoice-to-payment matching for small businesses, and KYC identity verification with real-time compliance checks. A mid-market COO noted that data extraction during onboarding was "fast, highly accurate, and requires minimal manual review." A CTO at a small business described automatic mismatch flagging across large invoice batches. A CEO deploying the KYC module cited "API flexibility" and a "clear dashboard" as factors in maintaining compliance without slowing onboarding. All three reviews are from G2 and represent vendor-curated testimonials rather than independent analyst assessments. No coverage from Gartner, IDC, or Everest Group has been identified for Graip.AI.

What Users Say

Practitioners using Graip.AI report consistent strengths in extraction accuracy and API flexibility across fintech and procurement workflows. G2 reviewers highlight fast onboarding document processing and automatic invoice mismatch detection as the most tangible operational wins. The KYC module draws specific praise for dashboard clarity, which teams cite as reducing compliance overhead without adding friction to customer onboarding.

The platform's no-code entry tier receives positive mentions from small business operators who need structured data from invoices and purchase orders without IT involvement. Enterprise reviewers are fewer in number, and no independent analyst has assessed the platform at scale. Teams evaluating Graip.AI for large-volume or highly regulated deployments should note the absence of third-party benchmark data and the limited public evidence base beyond three G2 reviews and vendor-described production scenarios.

How Graip.AI processes documents

Graip.AI describes its processing architecture as a modular framework of AI agents built on foundational tasks: extraction, validation, search, response, and data collection. These atomic capabilities compose into higher-order workflows rather than running as a monolithic pipeline, which aligns with the agent-composition pattern emerging across the IDP market.

The platform processes 25+ document types using computer vision to identify tables, signatures, stamps, and handwritten text. Language support spans 140+ languages, making it relevant for organizations operating across geographic markets. Claimed processing time is under 5 seconds per document, with accuracy exceeding 99% on domain-specific datasets. Both figures are vendor-reported and sourced from a startup tools roundup rather than independent benchmarking. No head-to-head comparison against competitors has been published.

Document classification and data extraction operate at the foundational task layer, with pre-configured agents for specific business functions layered on top. In Q4 2025, Graip.AI extended extraction to email body text: forwarded plain-text emails convert into document previews with structured fields including quantities, prices, and delivery terms pulled from the body itself, with or without attachments. The same extraction logic applied to PDFs and images governs email processing, keeping the pipeline consistent across input channels.

Adaptive extraction, also shipped in Q4 2025, allows users to annotate specific fields in a document preview, trigger a "Save and Reprocess" action, and receive an alternative extraction output for side-by-side comparison. The feature is scoped to per-document feedback and does not modify system-wide model settings. This is the foundation on which the Q1 2026 human-in-the-loop approval workflow is being built: high-confidence documents would route automatically, with exceptions escalating for human review. No release date or delivery criteria have been committed publicly.

Karyna Mihalevich, Chief Product Officer at Graip.AI, states: "Agents are most valuable when a task requires reasoning or action beyond simple automation. Their strength lies in deciding what to do next, justifying that decision, and acting across systems while remaining accountable for the outcome." This framing positions the AGENTS.LAB tier as a decision layer rather than a pure extraction tool, though no benchmark data is available to assess quality against competing approaches.

The AGENTS.LAB tier covers Sales, HR, Procurement, and Operations workflows. The CPQ Insights Agent, updated in Q4 2025, now maintains thread awareness across a session, allowing follow-up questions without restating prior context. Custom agent construction is available for processes not covered by the existing library.

Enterprise integrations and governance

Graip.AI has expanded its integration surface considerably through late 2025 and early 2026. Beyond the existing Zapier connector and SharePoint native integration, the platform now connects to n8n for low-code automation, WhatsApp for document capture from messages and attachments, SAP S/4HANA for sales order creation, and SAP CPQ for quote management workflows. WordPress integration is also listed in the newsroom. This breadth mirrors the broader IDP vendor movement toward workflow orchestration rather than standalone extraction.

Two partnerships extend the platform into vertical software stacks. A partnership with Excellent Eesti integrates Graip.AI document automation with the Standard Books business management platform, covering accounting, inventory, and property management workflows. A partnership with CDS Australia connects Graip.AI IDP with Celcat Timetabler for education scheduling and mid-term change management. Both are niche integrations that signal Graip.AI is pursuing ecosystem depth in specific verticals rather than competing on horizontal enterprise connector breadth alone. Competitors like UiPath and ABBYY name SAP, Oracle, and Salesforce connectors explicitly to signal enterprise readiness; Graip.AI's SAP integrations are now documented but remain narrower in scope.

On the governance side, the AGENTS.LAB tier now includes full audit log tracking covering logins, agent creation, and configuration changes. An Intelligent Search feature traces agent-driven actions with timestamps and chat links. Single sign-on (SSO) authentication supports Google and Microsoft identity providers. An email allowlist controls workspace access by domain or individual address. These additions address a common procurement objection for enterprise buyers: visibility into what agents did, when, and why.

ISO 27001ISO 9001ISO 22301SSO (Google, Microsoft)Audit Logsn8nZapierSAP S/4HANASAP CPQSharePointWhatsAppUiPath Technology Partner

Use cases

Financial services and fintech

Graip.AI's most documented deployments are in fintech onboarding and payment operations. The platform processes KYC documents with real-time identity verification, reducing manual compliance checks during customer onboarding. Invoice processing with automatic payment matching addresses a common pain point in finance teams managing high-volume outgoing invoices against incoming payments.

A Q4 2025 production deployment describes invoice routing across Coupa, Ariba, and PayeeCentral for an unnamed advertising partner, with the outcome described as "exception-only" processing. No throughput figures or error rates are quantified, and the customer is not named. A separate SharePoint-native deployment covers invoice capture and validation for finance teams. Both are vendor-described scenarios without third-party validation. For broader context on document automation in financial services, see Hyarchis.

Procurement and supply chain

The Purchase Order Reconciliation Agent performs line-by-line PO comparison and drafts clarification emails when discrepancies are found, including regional sizing differences. A Q4 2025 deployment description claims "100% accuracy in discrepancy detection," with no methodology, sample size, or independent verification cited. Buyers should treat this as an illustrative scenario rather than a validated benchmark.

The Multi-Template Order Processing Agent ingests mixed-content files, extracts item details, classifies by product category, routes to the correct template, and standardizes regional size notations. Email body processing extends both agents to cover RFQs and orders received as plain-text emails rather than attached documents.

The Quote Management AI Agent automates the RFQ-to-CPQ workflow with SAP CPQ integration. The Sales Order Creator AI Agent for SAP S/4HANA automates the RFQ-to-sales-order process with data validation and human approval gates before order creation.

The Contract Management AI Agent, listed in the Graip.AI newsroom, automates contract review, risk flagging, and clause analysis. Retrieval-Augmented Generation (RAG) is cited as the underlying approach for contract and financial report analysis, allowing the agent to reason across document content rather than extract fields from fixed positions. No customer examples or accuracy figures are published for this agent.

SMB and startup operations

The GO! tier targets accounting, HR, and general business operations at small teams. Nine ready-to-use document types and simple workflows are available without IT involvement, with automatic document type detection for invoices, purchase orders, and other supported formats. Zapier and API connectivity are included. A third-party roundup cited 67% reduction in manual data entry costs and 89% faster customer onboarding cycles for startups implementing AI document platforms in this category; these are category-level estimates rather than Graip.AI-specific measurements.

Logistics and education

Karyna Mihalevich delivered a keynote titled "AI Agents in Logistics: From Warehouse to Last Mile" at RIGA COMM 2025 in October, covering large language models (LLMs), open APIs, and AI hallucination mitigation in logistics contexts. The CDS Australia partnership applies Graip.AI IDP to education scheduling workflows via Celcat Timetabler, covering mid-term timetable changes and document-driven scheduling updates.

Technical specifications

Feature Specification
Document types 25+ claimed
Input formats Paper and digital documents; email body text; WhatsApp messages and attachments
Processing pipeline Modular AI agent framework: extraction, validation, search, response, data collection; adaptive per-document reprocessing (Q4 2025)
API and integrations API available; n8n, Zapier, SharePoint, SAP S/4HANA, SAP CPQ, WhatsApp, WordPress confirmed
Deployment Cloud
Certifications ISO 27001, ISO 9001, ISO 22301
Authentication SSO via Google and Microsoft identity providers
Governance Audit logs (logins, agent creation, config changes); Intelligent Search with timestamps; email allowlist
Claimed accuracy 99%+ on domain-specific datasets (vendor-reported)
Claimed processing speed Under 5 seconds per document (vendor-reported)
Languages supported 140+
Human-in-the-loop Q1 2026 roadmap: configurable approval workflows with exception escalation; not yet generally available

No independent benchmark results or third-party accuracy audits have been identified. All performance figures are vendor-reported or sourced from a single third-party startup tools article. The "100% accuracy" claim for PO reconciliation is unverified: no customer name, volume, time period, or audit methodology is provided.

Performance claims including 99% accuracy and sub-5-second processing are vendor-reported figures sourced from a startup tools roundup. No independent benchmarking or third-party audit has been published. Buyers should request documented test results against their own document types before relying on these figures.

Company information

Riga, Latvia (Skanstes 7 K1). Founded 2020. No funding rounds or investor names disclosed. ISO 27001, ISO 9001, and ISO 22301 certified. Employee count not publicly disclosed. Graip.AI participated in the AI-Powered Automation Summit Finland in November 2025 as a UiPath Technology Partner, the only disclosed partnership with a major automation platform vendor.

Mihalevich frames the company's product philosophy directly: "In our work with customers, it becomes clear very quickly that successful IDP starts long before automation. It requires a shared understanding of document quality, process maturity, and decision logic across the organization." This positions Graip.AI as a vendor that expects buyers to arrive with defined processes rather than one that promises to automate ambiguous workflows out of the box.

Resources

For vendor comparisons in adjacent categories, see the IDP vendor evaluation guide and the agentic document processing guide.