Services
Extraction of structured insights from massive ignored repositories of unstructured data including private community discussions, legacy PDF archives, and dark social channels. Sub-services include dark intent data extraction systems, legacy document AI parsing, unstructured data lakehouse architecture, and enterprise insight repository mining using NLP.
Development of specialized AI systems to extract structured data from scanned PDFs, faxes, and legacy document formats, focusing on high-accuracy OCR enhancement and complex layout understanding for industries like legal, finance, and healthcare.
Design and implementation of scalable data lakehouse architectures specifically for ingesting, storing, and processing massive volumes of unstructured dark data, enabling unified analytics across text, audio, and video repositories.
Building of semantic knowledge graphs from disparate unstructured data sources (emails, reports, presentations) to create a connected, queryable intelligence layer that reveals hidden relationships and insights across the organization.
Development of end-to-end platforms that combine NLP, computer vision, and entity recognition to achieve human-level comprehension of complex documents, contracts, and technical manuals for automated processing and insight generation.
Creation of AI systems for transcribing, analyzing, and extracting insights from call center recordings, meeting audio, and voice memos, focusing on speaker diarization, sentiment analysis, and actionable intelligence extraction.
Engineering of multimodal AI pipelines to analyze video archives and live streams, performing object detection, activity recognition, and transcript analysis to unlock insights from training videos, surveillance footage, and marketing content.
Development of AI monitoring systems that parse news, regulatory filings, and legal documents to provide early warnings of compliance changes, enforcement actions, and emerging risks specific to highly regulated industries.
Deployment of AI agents to mine R&D notes, patent filings, and internal technical documents to identify undiscovered intellectual property, potential patent infringements, and innovation opportunities buried in corporate archives.
Building of automated AI collectors and analyzers that process earnings calls, job postings, product reviews, and news to construct a dynamic, real-time picture of competitor strategy, strengths, and vulnerabilities.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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