Invisible Technologies

Invisible Technologies — AI Platform and Services

Invisible Technologies provides enterprise-grade AI training, customization, and integration services to scale foundation models and AI-powered workflows. The company emphasizes expert-led training (including LLM training and chain-of-thought/agentic AI training), custom evaluations, and a platform that connects AI models with hundreds of integrations to automate complex processes at scale.

What it is

• An end-to-end AI value chain partner: from data cleaning and data entry automation to advanced model training and production deployment.
• Industry-agnostic platform designed to help enterprises deploy AI at scale, with a focus on accuracy, reliability, and measurable business outcomes.
• Recognized for innovation and rapid growth across industries including retail & ecommerce, marketplaces, insurance, asset management, public sector, and technology.

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How it works

1. Leverage expert trainers to refine foundation models and tailor them to enterprise needs.
2. Use the AI process platform to integrate AI with existing systems, automate complex workflows, and drive scalable results.
3. Move from proof of concept to production with bespoke solutions for each client.

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Capabilities and Offerings

• Foundation model refinement and training
• Chain-of-thought reasoning and agentic AI training
• Custom evaluations and benchmarking for enterprise use cases
• Data cleaning and data entry automation
• End-to-end AI workflow integration across systems and tools
• Production-grade deployment and scale management
• Industry-specific solutions and accelerators for rapid ROI

Why Invisible Platform

• Industry-agnostic platform that unifies AI, integrations, and expert teams to deliver scalable, high-quality outcomes on demand.
• A track record of award-winning innovation and fast growth, with documented case studies across multiple sectors.
• A dedicated focus on translating AI capabilities into tangible business results (efficiency gains, cost reductions, faster time-to-value).

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Industries and Use Cases

• Retail & Ecommerce
• Marketplaces
• Insurance
• Asset Management
• Public Sector
• Technology

Representative Outcomes

• Reducing manual and repetitive work through automation
• Accelerating onboarding, speeding up workflows, and improving data quality
• Enhancing RAG (Retrieval-Augmented Generation) relevancy and conversational systems
• Enabling faster model development cycles and faster go-to-market for AI products

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Case Studies (Selected)

• Streamlining recruitment for retailers with extensive locations
• Accelerating onboarding for on-demand platforms during peak demand periods
• End-to-end customer experience improvements for solar adoption providers
• Improving AI training relevancy and search prompting in contextual conversation startups
• AI training efforts that boosted user experience on AI-powered search engines
• Automation savings and speed-ups for Nasdaq and other enterprise-scale clients

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Safety, Ethics, and Compliance

• Emphasis on enterprise governance, evaluation, and reliability to ensure responsible AI deployment.
• Custom evaluations and benchmarking to meet regulatory and risk requirements.

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Core Features

• Expert-led AI model training and fine-tuning for enterprise needs
• Chain-of-thought reasoning and agentic AI training capabilities
• Custom evaluations, benchmarking, and validation tailored to business objectives
• Data cleaning and data-entry automation to improve input quality and efficiency
• AI process platform with hundreds of integrations for seamless workflow automation
• End-to-end path from proof of concept to production-scale deployment
• Industry-agnostic applicability across retail, marketplaces, insurance, asset management, public sector, and technology
• Production-grade scalability and governance for enterprise AI programs