Innodata is a leading provider of AI data solutions, model fine-tuning, AI safety services, and traditional AI solutions, helping government agencies, defense organizations, and public sector institutions maximize the potential of artificial intelligence. With over 35 years of experience in AI training data, model evaluation, and AI governance, Innodata ensures that public sector AI initiatives are built on high-quality, secure, and ethically sourced data to drive mission success.
AI and machine learning initiatives in the public sector require high-quality, structured, and domain-specific data to ensure optimal performance. Innodata provides a full suite of traditional AI services, supporting government agencies with:
These solutions enable AI-driven automation, improve decision-making for public sector agencies, and ensure data quality for LLMs, SLMs, and LVMs deployed across government operations.
Government agencies increasingly rely on LLMs, SLMs, and LVMs to enhance decision-making, intelligence analysis, and citizen services. Innodata provides end-to-end support for fine-tuning and optimizing these AI models, ensuring they meet public sector demands for accuracy, security, and efficiency.
Innodata’s expertise in supervised fine-tuning, retrieval-augmented generation (RAG), and reinforcement learning from human feedback (RLHF) ensures that government-deployed AI models are optimized for mission-critical use cases with high precision and minimal bias.
Public sector agencies rely on AI to enhance efficiency, improve decision-making, and support critical initiatives across defense, cybersecurity, law enforcement, healthcare, and citizen services. Innodata specializes in custom data annotation, collection, and synthetic data generation across text, speech, image, video, and sensor data to improve AI model accuracy.
Whether for automated document processing, intelligence analysis, threat detection, or healthcare diagnostics, Innodata provides domain-specific data solutions tailored to government applications.
Additionally, Innodata enables supervised fine-tuning of LLMs, SLMs, and LVMs to enhance performance for specialized government tasks, including multilingual document translation, classified information extraction, legal research automation, and cybersecurity anomaly detection.
Governments must ensure AI systems are secure, unbiased, and aligned with federal policy guidelines. Innodata’s automated AI testing and evaluation platform proactively identifies vulnerabilities, biases, and risks in AI models through adversarial testing, red teaming, and AI safety evaluation.
Innodata helps agencies modernize operations by automating data-heavy workflows and improving operational efficiency. Key use cases include:
By partnering with Carahsoft, Innodata brings its AI expertise, traditional AI services, and advanced data solutions to the public sector, helping agencies deploy responsible, transparent, and high-performing AI systems to serve citizens effectively and securely.