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Introducing FineParser, your AI pipeline solution.⚡
Self-hosted document parsing built on ABBYY FineReader, the OCR engine behind enterprise document automation since 1989 and named a Leader in the 2026 Gartner® Magic Quadrant™ for Intelligent Document Processing.
Fine Parser is container-native, supports 200+ languages, pixel-accurate structure preservation, deploys in under 5 minutes, and exports to DocLang, JSON, and XML outputs designed for RAG pipelines and AI workflows.
No cloud account. No data leaving your infrastructure. Air-gap capable for the workloads that demand it.
Your AI pipelines are only as good as the documents feeding them. FineParser is how that problem gets solved.
Get access, start for free: hubs.li/Q04y1jry0
#DoParsingRight #AIEngineering #RAG #LLM #DocumentParsing #DocumentAI #AgenticAI #DocLang
Agentic automation needs more than intelligent systems — it needs reliable data they can trust.
Enterprise information lives in documents, but extracting structured, contextual and validated data from them can be a challenge. This is where the ABBYY and Camunda partnership comes in.
ABBYY Document AI helps organizations turn complex documents into reliable, structured data, while Camunda orchestrates that data across people, systems and processes.
Together, ABBYY and Camunda help enterprises move from documents to decisions and action — creating a stronger foundation for reliable agentic automation.
It was great to bring this partnership to life at #cAIoDay26 in Spain, alongside the Camunda team and IKN, and to discuss how organizations can turn AI potential into real business outcomes.
Discover how ABBYY and Camunda are enabling reliable document-driven automation: hubs.li/Q04BqF9R0
#DocumentAI #ABBYY #Camunda #AgenticAI #Automation
Every team has one. The scanned contract with a coffee ring across page three. The invoice with tables nested inside tables. The form that someone filled out by hand, faxed, scanned, and then faxed again.
We want to see it.
At IBM TechXchange 2026, ABBYY invites you to the "Bring Your Worst Document" contest. Bring your messiest, most complex, most stubborn document to our booth #676 and put ABBYY to the test, live.
📍 IBM TechXchange 2026 | October 26–29 | Atlanta, GA
🤝 Find ABBYY at booth #676
Plan your visit to TechXchange: hubs.li/Q04Bt4yb0
What's the worst document your team has ever had to process? Tell us in the comments, then bring it to Atlanta.
🚀 Don't want to wait? Start your free FineParser trial today: hubs.li/Q04Bt4C20
#ABBYY #IBMTechXchange #DocumentAI #FineParser
* Follow our page for agenda updates: @ABBYY_Software ✅ We'll see you in Atlanta!
Bringing generative AI into document workflows just got a lot simpler.
Introducing PHOENIX Plus, the native GenAI layer built directly into the ABBYY Vantage pipeline. 🚀
PHOENIX Plus gives you a managed, ABBYY-hosted large language model (LLM) endpoint, so you can apply generative AI at whichever step of document processing it adds the most value:
• Classification: sort documents into the right types and routes
• Extraction from unseen documents: capture data from new layouts and formats without prior training
• Data enrichment and reasoning: interpret, validate, and add context to the data you extract
• Higher straight-through processing (STP) and accuracy: boost the results of existing document processing workflows
By plugging GenAI into a governed document processing pipeline, you harness its power without compromising on reliability, structure, or governance.
Getting started is simple: one contract with ABBYY, a predictable annual cost, and your data stays in the same region as your Vantage data.
Prefer your own model? Connect OpenAI, Google Gemini, Anthropic Claude, Mistral, or self-hosted models through bring-your-own-model (BYOM).
The result is hybrid AI by design: proven Document AI where precision is non-negotiable, and GenAI where flexibility and reasoning deliver the most value.
PHOENIX Plus is now available through a controlled release program for ABBYY Vantage Cloud customers.
👉 Read the blog to see how PHOENIX Plus works: hubs.li/Q04BMC_g0
#ABBYY #DocumentAI #GenAI #IntelligentDocumentProcessing #Vantage
How much does document format really matter? We put it to the test.
At IBM TechXchange 2026, join Maxime Vermeir, ABBYY VP of AI Strategy, for "Stop Feeding Raw PDFs to AI: Benchmarking DocLang with IBM Granite and ABBYY FineReader Engine." The session compares raw PDF input with DocLang output from ABBYY FineReader Engine, using IBM Granite to measure the difference. DocLang is a document format purpose-built for LLMs and agentic AI.
Find out:
• Why raw PDFs undermine model accuracy in enterprise AI workflows
• How DocLang preserves layout, tables, reading order, and context for AI-ready input
• What the benchmark reveals about the link between input quality and output reliability
• How to apply these findings to your own Document AI pipelines
📍 IBM TechXchange 2026 | October 26–29 | Atlanta, GA
🗓️ Session: 10/28 | 12:00–12:20 PM | Tech Talk Stage for AI
🤝 Visit ABBYY at booth #676
Add this session to your TechXchange agenda: hubs.li/Q04Bt3Cm0
How much of your AI accuracy problem starts with the documents you feed your models?
#ABBYY #IBMTechXchange #DocumentAI #DocLang #EnterpriseAI
* Follow our page for agenda updates: @ABBYY_Software ✅ See you in Atlanta!
Your business teams are no longer just selecting software.
They're building it, and prompting their way to custom document workflows that never appear in a vendor contract. For CIOs and compliance leaders in regulated industries, that shift is quietly reshaping enterprise governance.
Published in Techronicler, Slavena Hristova, Director of Document AI at ABBYY, explains why the fix starts before the building does.
Swipe through to see what governed Document AI actually requires, then explore the full analysis at the link below.
Read the full article to find out ‘What Happens When the User is No Longer Human’ 👉 hubs.li/Q04Bt5Nt0
🔗 Learn how ABBYY enables AI Risk Management → hubs.li/Q04Bt5Kj0
#EnterpriseGovernance #AICompliance #DocumentAI
Are you serious about optimizing your AI pipelines?
At IBM TechXchange 2026, join Maxime Vermeir, ABBYY VP of AI Strategy, for "The Missing Layer in Enterprise AI: Building Document AI Pipelines with DocLang." You'll learn:
▪ Why raw document formats hold back enterprise AI accuracy
▪ Where DocLang fits in a Document AI pipeline, from document capture to LLM
▪ How to build document workflows that hold up in production
📍 IBM TechXchange 2026 | Room B208, Level 2, Building B, GWCC
🗓️ Session: 10/28 | 2:45-3:30 PM
🤝 Visit ABBYY at booth #676
Plan your TechXchange agenda: hubs.li/Q04BrkRJ0
What's the biggest document challenge slowing down your AI pipeline today?
#ABBYY #IBMTechXchange #DocumentAI #DocLang #EnterpriseAI
* Follow our page for agenda updates: @ABBYY_Software
We'll see you in Atlanta!
A roof terrace overlooking the Thames, views of the Walkie Talkie, and a welcome breakfast? Not a bad way to open a new chapter. 🙌
Last week, ABBYY CEO Ulf Persson and the UK team came together at the new London office. Located in the heart of the City, this new workspace reminds us that while ABBYY teams work flexibly across four continents, the best work happens when great people are in the same room.
Here's to London. ⚡
Explore open roles at ABBYY: hubs.ly/Q04BqbwN0
#LifeAtABBYY #London #NewOffice
Nominations for the ABBYY Partner Awards 2026 are officially open🎉
Our partners drive real results for customers every day. They build innovative solutions, deliver complex projects, and help enterprises put purpose-built AI to work. Now it's time to celebrate that impact.
The ABBYY Partner Awards recognize partners for innovation, customer impact, and commitment across the ABBYY ecosystem.
🏆 This year's categories:
• Partner of the Year
• Top Performing Partner by Region (APAC, EMEA, and Americas)
• Emerging Partner / Rising Star of the Year
• Most Innovative Solution of the Year
• Project / Deal of the Year
• GSI / SI Partner of the Year
• Software Distributor of the Year
• Technology Partner of the Year
Who's eligible: All partners actively engaged with ABBYY, including SIs, technology alliances, resellers, process intelligence partners, distributors, ISVs, and OEMs.
What winners receive: Custom trophies and digital badges, global visibility through ABBYY channels and joint case studies, priority beta access, co-selling opportunities, and invitations to our Partner Advisory Board, executive roundtables, and regional summits.
Partners can nominate themselves, and ABBYY Partner Account Managers can submit nominations on a partner's behalf.
👉 Nominate your team today: hubs.li/Q04BllLW0
📅 Submit your nomination between October 1 and December 31, 2026.
Not an ABBYY partner yet? Apply today: hubs.li/Q04Blm0c0
#ABBYYPartners #PartnerAwards #ABBYY #PartnerEcosystem
🚨A new episode of AI Pulse is live, and this one goes deep on something most AI conversations skip over entirely: why the human side of transformation matters just as much as the technology.
We sat down with Dado Van Peteghem, author of Soul vs. Scale, to talk about what actually separates organizations that succeed with AI from those that stall. Spoiler: it's not the tools they choose.
The conversation covers how to structure AI governance so it works both top-down and bottom-up, why change management belongs at the start of an AI strategy (not the end), and how to reframe the ROI conversation in a way that gets leadership aligned.
🎧 Listen now → [hubs.li/Q04B9wmr0]
#AIStrategy #ChangeManagement #IntelligentAutomation #AIPulse #ABBYY
Die Einführung von KI beschleunigt sich. Doch können Governance, Verantwortung und Vertrauen Schritt halten?
Unsere Studie „KI-Verantwortung und die Governance-Lücke – Deutschland-Edition“ zeigt, dass 55 % der Befragten sagen, dass KI schneller eingeführt wird, als ihre Organisation sie effektiv steuern kann.
Entdecken Sie die wichtigsten Erkenntnisse zu KI-Governance, menschlicher Aufsicht und den Herausforderungen, denen Unternehmen in Deutschland gegenüberstehen.
Die vollständigen Studienergebnisse entdecken: [hubs.li/Q04B2sGg0]
#KI #AIGovernance #KünstlicheIntelligenz #ABBYY
Most AI projects don't fail because the technology doesn't work – they fail because two-thirds of your team were never really brought up to speed.
On the next episode of the AI Pulse podcast, we're sitting down with Dado Van Peteghem, strategist and author of Soul vs. Scale, to talk about why the human side of AI transformation matters as much as the technical side.
We'll be covering why change management might be more important than your AI strategy and the one question every leader should ask before their next AI investment.
📅 New episode dropping October 14th. Subscribe, so you don't miss it.🙌
✅ hubs.li/Q04zW_9k0
#AILeadership #IntelligentAutomation #FutureOfWork #AIPulse #ABBYY
For the past few years, the answer to almost every tech question has sounded the same:
"Move it to the cloud." For a lot of use cases, that works.
Until a regulator says the data can't leave a specific geography, or a customer demands stricter controls, or your legal, compliance, or security teams ask a simple question:
"Where exactly are these documents being processed?"
That's when cloud-only stops being a strategy and starts becoming a constraint.
With almost 40 years of comparing, classifying, extracting, and understanding documents, we've learned that real-world document processing is never one-size-fits-all. The organizations handling the most sensitive, complex information need flexibility, not ultimatums.
As AI adoption accelerates, businesses are discovering that the challenge isn't just extracting information from documents. It's doing it where business, regulatory, and security requirements allow.
That's exactly why we're paying attention to what's next.
Introducing FineParser.
A modern, containerized deployment model for document parsing design for AI. No cloud account. Runs on your infrastructure in minutes. Now available.
🔗 hubs.li/Q04zxDW50
#DoParsingRight #DocumentAI #EnterpriseAI #DataGovernance #Automation #FineParser
Ripping out legacy systems to make room for AI is often the most expensive way to fall behind.📉
In his new InformationWeek article, Jon Knisley, Director of AI Value Management at #ABBYY, argues that your decades-old core systems are a competitive moat. They hold years of transaction history, edge-case handling, and regulatory logic that no startup can synthesize and no vendor can easily replicate.
Your legacy proves you've built something durable. Pair it with focused, well-governed AI, and you gain precision and speed that start-from-scratch competitors can't match.
📖 Read Jon's full article: hubs.li/Q04zsYJ_0
🔍 See how ABBYY turns complex documents into AI-ready data: hubs.li/Q04zsYqC0
#DocumentAI #LegacySystems #EnterpriseAI
AI solutions catch headlines, but what is the true differentiator in today's tech market?
Gina Ray, ABBYY Vice President of Corporate Marketing, argues that people are the real X factor when it comes to driving AI success. In her recent article in the Intelligent Enterprise, Gina explains that behind every AI breakthrough is a team of people making critical decisions and asking the right questions.
• Is this the right tool for the job?
• Can we prove it's accurate and at scale?
• Will this hold up under scrutiny?
The next phase of enterprise AI isn't about applying LLMs everywhere you can. It's about the discipline to decide where they belong.
Read Gina's full take here: hubs.li/Q04zm-yB0
#DocumentAI #EnterpriseAI #IntelligentDocumentProcessing #HumanInTheLoop #PurposeBuiltAI #TheIntelligentEnterprise
"Governance is not the thing slowing AI down. Weak governance is."
That single line from our Chief Compliance Officer, Roman Kilun, reframes the entire AI governance debate.
Here is the contradiction hiding in our 2026 State of Intelligent Automation report:
👉 70% of leaders say governance requirements are slowing their AI deployment.
👉 78% of leaders with established frameworks say governance has made their AI initiatives MORE successful.
Weak governance is what keeps AI stuck in pilot purgatory, while clear accountability, controls, and oversight are what move AI into production and turn it into real ROI.
Responsible AI is not a tax on speed. Done well, it delivers both.
The organizations that ask "Who Answers for AI?" before something goes wrong will be the ones that scale with confidence.
Read the blog for more details: 🔗 hubs.li/Q04zbhfZ0
Download the full 2026 ABBYY report, Who Answers for AI: The Governance Gap, for the complete data and market-by-market breakdowns: [hubs.li/Q04zbhjy0]
#AIGovernance #ResponsibleAI #ABBYY
Regulators are treating fraud, AML, and KYC as one problem. Most institutions are still solving them as three.
AMLR and FATF guidance is accelerating that convergence, and the institutions getting ahead of it aren't just updating policy, they're rebuilding the document review layer underneath all three. Because the forgeries feeding fraud exposure, AML gaps, and KYC failures share the same root: documents your teams can't fully trust or process fast enough.
ABBYY, Naviant, and Resistant AI are bringing that conversation to Toronto; an invitation-only working dinner for senior leaders in banking, insurance, and fintech.
🎯 ABBYY Circles · Toronto
📅 Thursday, October 8, 2026 · 4:00–7:00 PM
🍁 Riley's Toronto, 155 Wellington St W
In three hours you'll see live forensics that detect tampering imperceptible to visual review, run a pKYC readiness check against AMLR and FATF guidance, and leave with a scored automation shortlist from our AVCP Masterclass. The room is designed for Chief Risk and Compliance Officers, Heads of KYC and Onboarding, and CIOs who own these challenges now.
Request your seat👉 hubs.li/Q04ypZj00
#ABBYYCircles #DocumentFraud #KYC #Toronto #FinancialServices #ABBYYPartners
Fraud, AML, and KYC are converging into one regulatory expectation. The documents at the center of all three are getting harder to trust. 📃🤔
For every $1 of fraud loss, financial services absorbs $5.75 in total costs. That multiplier compounds every time a forged document clears a review process that was never built to catch it.
ABBYY has spent 35 years turning unstructured documents into trusted, automated data flows. GenAI has raised the ceiling on what "forged" looks like, and Resistant AI's forensics identifies tampering imperceptible to visual review while Naviant brings specialized KYC expertise to help institutions stop document fraud at ingestion. Together, we're hosting a working lunch in Charlotte to show what that looks like, live.
🎯 ABBYY Circles · Charlotte
📅 Wednesday, October 7, 2026 · 12:30–3:30 PM
📍Capital Grille, 201 N. Tryon Street
An invitation-only session for senior leaders in banking, insurance, and fintech. Three hours. No broadcast. You'll leave with:
• A live forensics demo that surfaces forged files earlier and reduces false positives
• A pKYC readiness check against AMLR and FATF guidance, tailored to your institution
• A scored automation shortlist from our AVCP Masterclass — potential project value exceeding $1M
• Candid conversation with Chief Risk and Compliance executives, Heads of KYC, and CIOs across the Charlotte region
Seats are limited. Request your invitation here: hubs.li/Q04ypXRV0
#ABBYYCircles #DocumentFraud #KYC #CharlotteNC #FinancialServices #ABBYYPartners
Creating a convincing fake ID once took specialized skills and physical materials. Not anymore.
Generative AI has put document fraud within reach of almost anyone. Templates get cloned. Bank statements get altered. Metadata gets tampered with, all at a speed and scale that traditional fraud controls were never built to handle.
That's the uncomfortable truth facing risk and compliance teams right now: the attacks have evolved, but most review processes haven't.
So how do you catch fraud that's designed to look flawless?
You stop relying on the human eye alone.
ABBYY combines Document AI with document forensics to shift the odds back in your favor by:
• Processing high volumes of documents accurately, without slowing operations to a crawl.
• Surfacing anomalies that isolated, manual review would miss entirely.
• Escalating only the cases that genuinely need human judgment.
The result is a smarter division of labor.
Machines handle the scale and pattern detection. 🤖
People apply the contextual judgment that automation cannot replicate. 🧠
Synthetic identities are only getting more convincing. Your defenses should be getting sharper.
Nick Carr, Director of Pre-Sales at ABBYY, explains how to detect document fraud in a world where anyone can manufacture a "real" document.
How confident are you that your current controls would catch a synthetic identity today? 🔗 Read the article: hubs.li/Q04yXkR90
#DocumentFraud #SyntheticIdentities #DocumentAI #FraudPrevention
Does AI cut through security alert noise, or just add to the pile?
That's the question Clayton C. Peddy, CISO at ABBYY, and Erika Dean, CISO at Tricentis, dig into on the latest InformationWeek Podcast: "Does AI Help or Trigger Alert Fatigue?"
They unpack what the alert cycle looked like before AI was introduced, whether AI improves the detection of false positives, and whether it is better to reduce the noise from alerts or to be hypervigilant with notifications for every potential security threat.
🎧 Listen here: hubs.li/Q04yL4zk0
A big thank you to @InformationWeek and host Joao-Pierre S. Ruth for a sharp, candid conversation.
Learn about ABBYY’s AI privacy and security practices in the ABBYY Trust Center: hubs.li/Q04yL4yw0
How has AI changed alert fatigue for your team?
#ABBYY #Cybersecurity #AIGovernance #AlertFatigue #CISO
Everyone loves demo dreamland - the parser handles the sample PDF perfectly, the text is clean, the tables look sharp, and the output flows neatly into your AI pipeline.
Then production happens and you can kiss consistency goodbye. 👋
Your invoices arrive skewed, contracts are scanned copies of scanned copies, and financial reports suddenly switch between languages. Somewhere, a table loses its structure, a key clause ends up in the wrong section, and your AI starts making decisions based on incomplete information.
Nothing broke overnight, it happened one document at a time.
So now the data entering the system isn't trustworthy, neither are your outputs, and you're left with one question: how does your parser perform when it's confronted with the real, messy, inconsistent documents you actually manage.
Before you trust a parser with production workloads, make sure you're evaluating it the same way production will.
Ready to see the difference of an enterprise-grade document parser with predictable data structure?
Try FineParser. See the difference it makes for your RAG pipelines.
Get access today! No cloud account needed. Runs on your infrastructure in minutes.
🔗 hubs.li/Q04yJ63Y0
#DoParsingRight #DocumentAI #GenerativeAI #RAG #IntelligentAutomation #AI
Curious what you should be testing beyond character-level accuracy? Read our guide for a practical framework.
🔗 abbyy.com/blog/how-to-evalua…


















