Multimodal AI
Unified Intelligence Across Text, Vision, Audio & Video
Cross-modal reasoning, enterprise computer vision, document understanding, and audio intelligence - unified into production pipelines.
Why This Matters
The Real World Is Multimodal.
Enterprise data isn't just text. Manufacturing floors generate video streams, healthcare produces medical images, financial services process scanned documents, and customer interactions span voice, chat, and email. Single-modality AI misses the full picture.
In 2026, the most capable foundation models - GPT-4o, Gemini 2.0, Claude 3.5 - are natively multimodal. They process images, audio, and text in a single context window. This unlocks cross-modal reasoning that was impossible before: analyzing an engineering drawing while referencing the specification document, or understanding a customer complaint that includes a photo and a voice recording.
We build production multimodal pipelines that combine foundation model reasoning with specialized computer vision (YOLO, SAM2), speech AI (Whisper, Deepgram), and document understanding systems - deployed on-premise or at the edge with sub-10ms inference latencies.
Our Tech Stack
Production-Grade Tools We Deploy
Foundation Models (Multimodal)
Computer Vision Models
Audio & Speech
Video Analysis
Computer Vision Platform
ML Frameworks
Edge Deployment
Orchestration
Architecture Deep-Dive
How We Build It
Cross-Modal Reasoning
Unified pipelines where GPT-4o or Gemini 2.0 processes documents with embedded images, audio transcripts alongside text, and video frame analysis - all in a single context for holistic understanding.
- Multi-modal RAG: retrieve and reason over text, images, and tables together
- Engineering drawing analysis with specification document cross-referencing
- Medical image interpretation combined with patient record context
- Video frame extraction + LLM analysis for content understanding
- Audio transcription piped into text analysis for meeting intelligence
- Unified embedding spaces (CLIP) for cross-modal semantic search
Enterprise Computer Vision
Production defect detection with YOLO v11 and custom-trained models. Real-time video analytics for safety, quality, and compliance. Edge deployment with TensorRT for sub-10ms inference.
- YOLO v11 for real-time object detection at 200+ FPS on NVIDIA GPUs
- Custom model training on your data with Roboflow and Ultralytics HUB
- SAM2 for zero-shot segmentation - no training data needed for new objects
- TensorRT optimization: 5x inference speedup for edge deployment
- Multi-camera video analytics for safety compliance and PPE detection
- Anomaly detection in manufacturing with sub-millimeter precision
Document Understanding
OCR + layout analysis + LLM extraction pipelines that process invoices, engineering drawings, medical reports, and legal documents with multi-modal comprehension.
- LayoutLMv3 for layout-aware document understanding
- Multi-format parsing: PDF, DOCX, scanned images, handwritten forms
- Table extraction with structural understanding (not just OCR)
- Cross-document reasoning: compare clauses across contracts
- Integration with enterprise DMS (SharePoint, Documentum, Box)
- 99%+ extraction accuracy with human-in-the-loop validation
Audio Intelligence
Real-time transcription with Whisper and Deepgram, speaker diarization, sentiment analysis, and meeting summarization pipelines for enterprise communication.
- Whisper for 99%+ accuracy multilingual transcription
- Deepgram for real-time streaming with <300ms latency
- Speaker diarization: who said what in multi-party conversations
- Sentiment and emotion analysis on voice recordings
- Meeting summarization with action item extraction
- Voice biometrics for speaker identification and verification
Data Security, Governance & Safety
Enterprise AI demands enterprise-grade security. Every solution we deploy follows strict data sovereignty, safety, and compliance standards.
Data Sovereignty
- Your data stays in your infrastructure - always
- Deploy on your cloud (AWS, Azure, GCP) or on-premise
- No data leaves your environment
- Full compliance with regional data residency requirements
Model Safety & Guardrails
- NVIDIA NeMo Guardrails for content safety
- PII detection and redaction with Presidio
- Prompt injection defense and input sanitization
- Hallucination detection and factual grounding
Access Control & Audit
- Role-based access control for all AI systems
- Immutable audit logs for every interaction
- SOC 2 Type II, ISO 27001 compliance frameworks
- GDPR, HIPAA, and industry-specific regulations
Responsible AI
- Bias testing with Fairlearn and AI Fairness 360
- Model explainability via SHAP and LIME
- Transparency reports for stakeholders
- Continuous fairness monitoring in production
FAQ
Frequently Asked Questions
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