Innodata Solutions for the Public Sector

Generative AI & LLM Solutions

  • Supervised Fine-Tuning of LLMs – Optimizing large language models with domain-specific datasets for improved accuracy and contextual understanding.
  • Prompt Dataset Creation – Custom datasets designed for pre-training and fine-tuning LLMs across various use cases.
  • Chain-of-Thought Reasoning – Data preparation for models to execute logical multi-step reasoning.
  • Multimodal Fine-Tuning – Enhancing AI models with text, image, audio, video, and sensor data integration.
  • Human Preference Optimization (RLHF & DPO) – Aligning AI models with user preferences through reinforcement learning techniques.
  • Retrieval-Augmented Generation (RAG) Optimization – Enabling AI to access and retrieve external knowledge for dynamic response generation.
  • Conversational AI & Chatbot Fine-Tuning – Custom training data for dialogue systems, virtual assistants, and AI-driven chatbots.
  • Automated AI Content Generation & Evaluation – AI-generated summaries, articles, reports, and validation for high-quality outputs.
  • Cross-Lingual & Multilingual AI Model Training – Developing AI that understands and generates text in 85+ languages.
  • Domain-Specific LLM Customization – Fine-tuning LLMs for industries such as finance, law, healthcare, and security.

Data Collection & Annotation Services

  • Multilingual Data Annotation – High-quality annotation in 85+ languages for NLP and localization.
  • Text, Image, Audio, and Video Annotation – Comprehensive labeling services for AI training data across multiple modalities.
  • Optical Character Recognition (OCR) Dataset Creation – Generating labeled datasets for document AI and automated text extraction.
  • Speech Transcription & Speaker Identification – High-accuracy speech-to-text conversion with speaker diarization.
  • LiDAR and Autonomous Vehicle Data Labeling – 3D point cloud annotation and object detection for self-driving applications.
  • Sentiment Analysis & Emotion Detection – Annotation of emotional tone and polarity in text, speech, and images.
  • Medical Image & Radiology Annotation – Specialized annotations for pathology, MRI, CT scans, and ultrasound imaging.
  • Legal Document Annotation & Classification – Structuring contracts, case law, and regulations for AI-powered legal solutions.
  • Financial Document Labeling – Categorization of invoices, bank statements, and regulatory filings for AI models.
  • Geospatial & Satellite Image Annotation – Training data for environmental monitoring, defense, and navigation AI.
  • Retail & E-commerce Data Labeling – Product categorization, recommendation engine training, and customer sentiment analysis.
  • Autonomous Systems Training Data – Annotating datasets for robotics, drones, and industrial automation.

AI Model Safety, Red Teaming & Evaluation

  • Adversarial Testing & Red Teaming – Identifying vulnerabilities and weaknesses in AI models through structured attacks.
  • Bias Detection & Fairness Audits – Ensuring AI models do not exhibit harmful bias in decision-making.
  • Regulatory Compliance & AI Governance – Evaluating AI models to meet industry standards and ethical requirements.
  • Harm Taxonomy & Model Safety Assessments – Comprehensive categorization of potential AI risks and safety failures.
  • Robustness Testing for AI Models – Evaluating model resilience against adversarial prompts and real-world scenarios.
  • Content Moderation & Toxicity Filtering – Training AI models to detect and filter inappropriate content.
  • Fact-Checking & Misinformation Detection – Ensuring AI-generated content is accurate and unbiased.
  • AI Jailbreaking & Security Audits – Evaluating AI vulnerabilities and strengthening safety mechanisms.

Domain-Specific AI Solutions

  • Healthcare AI – AI for medical imaging, clinical documentation, and EHR processing.
  • Finance AI – AI-powered fraud detection, risk assessment, and algorithmic trading models.
  • Legal AI – AI-driven contract analysis, case law research, and compliance monitoring.
  • Pharmaceutical AI – AI-driven drug discovery, clinical trial analysis, and regulatory compliance.
  • Government & Defense AI – AI solutions for intelligence analysis, surveillance, and counterterrorism.
  • Education AI – AI-powered personalized learning platforms and automated grading systems.
  • Geospatial AI – Satellite image analysis and geospatial intelligence solutions.
  • Cybersecurity AI – AI-driven intrusion detection, phishing prevention, and digital forensics.
  • Manufacturing & Industrial AI – AI-based predictive maintenance, defect detection, and process automation.
  • Retail & Consumer AI – AI-driven product recommendations, inventory optimization, and customer insights.
  • Energy & Utilities AI – Predictive analytics for grid management, renewable energy optimization, and emissions monitoring.
  • Human Capital & Workforce AI – AI for talent acquisition, workforce planning, and HR analytics.

Enterprise AI Solutions & Consulting

  • AI Strategy & Implementation Consulting – Assisting organizations in AI adoption and integration.
  • AI-Powered Document Intelligence – Automating document processing for business efficiency.
  • Ethical AI Policy Development – Creating governance frameworks for responsible AI usage.
  • AI Workflow Automation – Optimizing enterprise processes through intelligent automation.
  • Knowledge Management & Retrieval AI – AI-driven search and retrieval solutions for large knowledge bases.
  • Generative AI & NLP Applications for Enterprises – Deploying AI chatbots, summarization tools, and virtual assistants.
  • Intelligent Process Automation (IPA) & RPA – Automating repetitive business processes for efficiency and cost savings.
  • Conversational AI & Voice Assistants – AI-driven customer service, voice recognition, and virtual agent deployment.
  • AI-Driven Competitive Intelligence & Market Research – Leveraging AI for trend analysis, consumer insights, and competitor tracking.

Innodata provides scalable, high-quality AI solutions that empower businesses, governments, and enterprises to harness the full potential of artificial intelligence.