Invisible Technologies
Invisible Technologies helps enterprises operationalize AI through platform automation and expert services.
Invisible Technologies is an AI operations platform that combines software automation with human expertise to help enterprises operationalize AI at scale. The platform (Meridial) includes five modular components—Neuron for data infrastructure, Atomic for workflow mapping, Expert Marketplace for human labor, Synapse for evaluation, and Axon for agentic automation—enabling clients to structure messy data, build digital workflows, and deploy AI agents. Serving enterprises like Microsoft, SAIC, and the Charlotte Hornets, Invisible positions itself as "Operations-as-a-Service," bridging pure software automation and traditional outsourcing to solve the enterprise challenge of getting AI models into production and quantifying ROI.
Problem solved
Enterprises struggle to get AI models into production, organize and label their data, and quantify AI ROI without expensive custom development or reliance on traditional outsourcing.
Target customer
Large enterprises and mid-market companies across finance, supply chain, insurance, and technology sectors seeking to automate complex business processes and operationalize AI at scale.
Founders
F
Francis Pedraza
Founder & Executive Chairman
Founded Invisible at age 26 in 2015; previously raised $2.6M for social network startup Everest; studied history at Cornell and interned at Google; also founded Infinity Constellation, an AI services holding company.
M
Matthew Fitzpatrick
CEO
Joined January 2025; former Global Head of QuantumBlack Labs at McKinsey, where he oversaw 1,000 engineers and product leaders in AI software development and R&D.
K
Kit Colbert
Platform CTO
Joined 2025; former CTO of VMware with decades of experience building enterprise-grade infrastructure platforms.
Funding history
NSF Grant
Prize money
July 2016
Led by National Science Foundation
Seed
$2.6M
2018
Led by Backed Ventures
· Day One Ventures, Greycroft, Horizons Alpha, Loup Ventures, Mark Pincus (angel)
Series B
$100M
September 2025
Led by Vanara Capital
· Princeville Capital, HOF Capital, Freestyle VC, Rocketeer Management, Tallwoods Capital, Acrew Capital, Greycroft, Backed VC, BY Ventures, Deepwater Asset Management
Total raised:
$144M
Pricing
Usage-based model where clients pay for outcomes rather than hours. Premium positioning with minimum spend of $2,000/month for individual executive support. Contact for enterprise custom pricing.
Notable customers
Microsoft, Group III (Swiss Gear), Science Applications International Corporation (SAIC), Charlotte Hornets NBA team, unnamed insurance company, unnamed investment firm
Tech stack
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Website
Competitors
Mimica
Focuses on process intelligence and automation but with less emphasis on human expert integration and agentic orchestration.
SuperAnnotate
Specializes in data annotation and labeling tools but lacks the end-to-end workflow automation and expert marketplace components.
Hypatos
Targets document automation and invoice processing but operates at narrower scope than Invisible's cross-industry operations platform.
Hyperscience
Provides intelligent document processing but without the integrated expert marketplace and agentic workflow orchestration layer.
TaskUs
Traditional outsourcing services provider lacking proprietary software platform and AI-driven automation capabilities.
Why this matters: Invisible Technologies represents a contrarian thesis about enterprise AI: that the bottleneck isn't model capability but operationalization, requiring integrated software and human expertise. With $144M raised, $134M revenue in 2024 (doubled YoY), and a $2B valuation, the company demonstrates strong market validation of the hybrid automation-plus-services model, positioning itself as an alternative to both pure software platforms and traditional outsourcing.
Best for: Enterprise organizations looking to automate complex operational workflows, operationalize AI models, and reduce manual data processing costs while maintaining quality control through human expertise.
Use cases
Supply Chain Automation
Swiss Gear used Invisible to automate supply chain operations, reducing manual touchpoints and improving visibility across procurement and logistics workflows.
Insurance Claims Processing
An insurance company increased straight-through processing from 26% to significantly higher rates by using Invisible's workflow automation and data structuring, improving efficiency and reducing invoice reconciliation errors.
Investment Research Acceleration
An investment firm built a secure Investment Assistant through Invisible's platform that extracts information from hundreds of sources, reducing research time from 5 hours to 5 minutes (98% reduction) within 6 weeks.
Naval Simulation Validation
SAIC leveraged Invisible's platform to enable AI-driven naval simulations, combining domain expertise with automated scenario testing and evaluation.
Sports Analytics
Charlotte Hornets used Invisible to validate and enhance NBA draft pick decisions through data structuring and predictive modeling.
Alternatives
Mimica
Choose Mimica for process mining and intelligence if you need deep process discovery without requiring integrated human expert services.
Accenture
Choose traditional consulting/outsourcing if you prefer human-centric solutions, though you'll sacrifice automation, speed, and AI-driven optimization.
Scale AI
Choose Scale AI if you need high-volume data annotation and labeling without the end-to-end workflow automation and agentic components.
FAQ
What does Invisible Technologies do? +
Invisible Technologies is an AI operations platform that combines software automation with human expertise to help enterprises operationalize AI. Its platform (Meridial) includes five modular components: Neuron for data infrastructure, Atomic for workflow mapping, Expert Marketplace for human labor and RLHF, Synapse for evaluation, and Axon for agentic automation. Clients hand off complex business processes and Invisible executes them using the combined platform and expert network.
How much does Invisible Technologies cost? +
Invisible uses a usage-based pricing model where clients pay for outcomes rather than hours. Premium positioning starts at $2,000/month minimum for individual executive support. Enterprise custom pricing is available upon request.
What are alternatives to Invisible Technologies? +
Key alternatives include Mimica (process mining and automation), SuperAnnotate (data annotation), Hypatos (document automation), Hyperscience (intelligent document processing), TaskUs (traditional outsourcing), and Scale AI (data labeling). Each has different strengths depending on whether you prioritize process discovery, annotation, specific automation domains, or human outsourcing.
Who uses Invisible Technologies? +
Target customers are large enterprises and mid-market companies across finance, supply chain, insurance, and technology sectors. Notable public customers include Microsoft, SAIC, Swiss Gear, and the Charlotte Hornets NBA team. Industries include insurance, investment management, defense, retail, and sports.
How does Invisible Technologies compare to traditional outsourcing companies? +
Unlike traditional outsourcers like Accenture or TaskUs that rely primarily on human labor, Invisible combines proprietary AI software (Meridial platform) with expert services, enabling faster execution, measurable outcomes, and continuous optimization through evaluation and fine-tuning. Founder Francis Pedraza positions Invisible as a "rebel alliance" against the "Galactic Empire" of large-scale outsourcing, emphasizing speed, quality, and automation-first approaches.
What makes Invisible Technologies different from other AI platforms? +
Invisible differentiates by bridging the gap between pure software automation and traditional outsourcing. While most AI platforms focus on model development or deployment, Invisible owns the entire stack—data infrastructure, workflow mapping, human expertise, evaluation, and agentic orchestration—plus an "Expert Marketplace" that ensures quality at scale. This integrated model solves enterprise problems like getting models into production and quantifying AI ROI.
Tags
AI operations
workflow automation
data structuring
enterprise automation
agentic AI
expert marketplace
operations-as-a-service
AI deployment