Services
Multimodal AI Data Pipelines and Integration
Multimodal AI Data Pipelines and Integration
Engineering of systems that process and cross-validate inputs across text, image, audio, video, and industrial sensor telemetry simultaneously, analyzing unstructured dark data like scanned PDFs, voice calls, and live video. Sub-services include multimodal RAG for enterprise search, live video and audio AI diagnostic pipelines, multimodal customer support bot development, and sensor-to-text industrial AI integration.
Multimodal RAG System Engineering
Architecture of scalable retrieval-augmented generation systems that fuse vector search across text, images, and audio to provide unified, context-aware answers from enterprise knowledge bases, reducing hallucination by over 40%.
Sensor-to-Text Industrial AI Pipeline Development
Development of pipelines that convert raw industrial sensor telemetry (vibration, temperature, pressure) into structured textual reports and actionable insights using multimodal models, enabling predictive maintenance and automated operational summaries.
Enterprise Multimodal Search Solution Development
Building unified search platforms that index and retrieve information across documents, images, audio recordings, and video archives using cross-modal embedding models, improving information discovery time by 70% for large enterprises.
Legacy Document AI Parsing Pipeline Consulting
Design and implementation of pipelines to extract, classify, and structure data from scanned PDFs, handwritten forms, and microfilm using OCR, computer vision, and NLP, converting decades of dark data into queryable assets.
Multimodal AI Model Orchestration Services
Consulting and development of orchestration layers that dynamically route inputs between specialized vision, language, and audio models (e.g., CLIP, Whisper, GPT-4) to optimize accuracy, cost, and latency for complex multimodal tasks.
Audio-Visual AI Data Fusion Engineering
Engineering services focused on the technical fusion of synchronized audio and video data streams for applications like sentiment analysis, speaker identification, and event recognition, using models like AudioCLIP and multimodal transformers.
Real-Time Multimodal Analytics Platform Development
End-to-end development of platforms that ingest, process, and visualize insights from live text, image, and sensor data streams, providing dashboards and APIs for instant decision-making in operational environments.
Multimodal AI for Compliance and Audit Systems
Building pipelines that cross-validate evidence across emails, documents, transaction logs, and call recordings to automate regulatory compliance checks and audit trails, ensuring adherence to standards like SOX and GDPR.
Cross-Modal Data Integration and Validation Services
Services focused on the technical challenge of aligning, cleaning, and validating data from disparate modalities (text, image, tabular) to create cohesive training datasets and ensure consistency for downstream multimodal AI models.
Partnered with leading AI, data, and software stack.
How We Work
Custom AI workflows for your Business
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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Review the use case
We understand the task, the users, and where AI can actually help.
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Pick the right approach
We define what needs search, automation, or product integration.
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Build the first useful version
We implement the part that proves the value first.
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Improve from there
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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