Invisible Technologies
Invisible Technologies provides an AI Process Platform combining modular software (Neuron, Atomic, Meridial, Synapse, Axon) with a 24,000+ expert network to train, deploy, and evaluate AI for foundation model providers and Fortune 500 enterprises.
- Company typePrivate
- Founded2015
- HeadquartersSan Francisco, United States
- Headcount251–500
- GTM typeB2B
- OfferingSoftware
What Invisible Technologies does
Invisible Technologies is a private AI Process Platform founded in 2015 in San Francisco that combines modular software with a 24,000+ vetted human expert network to train, evaluate, and deploy AI for foundation model providers and large enterprises. Its core offering is a five-module platform — Neuron (data platform), Atomic (process builder), Meridial (expert network), Synapse (evaluations), and Axon (agent deployment) — which is paired with a Forward Deployed Engineering model in which Invisible engineers embed inside client operations to move AI projects from pilot to production. The company states it has trained foundation models for more than 80% of the world's leading AI providers and serves named customers including Cohere, AWS, Microsoft, Google, Grubhub, Boosted.ai, Charlotte Hornets, and Nasdaq, with multi-modal coverage spanning text, image, video, audio, structured data, and code.
Invisible makes money through three primary streams: Work-as-a-Service / managed-services engagements delivered by Forward Deployed Engineers, recurring subscription revenue from the modular AI Software Platform, and professional services for AI training data, annotation, and RLHF. Pricing is not publicly disclosed and is delivered via a 'Book a demo' custom-quote model typical of enterprise AI, with multi-year contract cadences. Distribution is anchored on enterprise direct sales led by an SVP Sales, SVP Enterprise GTM, and EVP Sales, supplemented by the self-serve Meridial expert marketplace, an inside-sales funnel fed by a 30,000+-subscriber 'Invisible Advantage' newsletter and content marketing, a Carahsoft channel partnership for U.S. public sector, and dedicated Field CTOs in the U.S. and Europe.
As of 2025, Invisible has approximately 400+ employees across offices in San Francisco, New York, Reston (Washington D.C.), Austin, London, and Warsaw. Revenue reached $134 million in FY2024 (more than doubling YoY, after a 24x increase from 2020 to 2023), and the company achieved unicorn status in September 2025 with a $100 million growth round led by Vanara Capital at a $2B+ post-money valuation, bringing cumulative capital raised to $144 million. In March 2026, Invisible acquired WeCP to fold 18,000+ technical assessments and 2 million+ interview records into Meridial, strengthening its expert-validation flywheel.
Invisible Technologies firmographics
Firmographics- Name
- Invisible Technologies
- Legal name
- Invisible Technologies Inc.
- Website
- https://invisibletech.ai
- Company type
- Private
- Founded year
- 2015
- Operating status
- Operating
- Headcount range
- 251–500 employees
- Short description
- Invisible Technologies provides an AI Process Platform combining modular software (Neuron, Atomic, Meridial, Synapse, Axon) with a 24,000+ expert network to train, deploy, and evaluate AI for foundation model providers and Fortune 500 enterprises.
- Ownership category
- akta.pro rank
Invisible Technologies industry classification
Industry- Product category
- Enterprise AI Process Platform
- NAICS
- Software Publishers (5132), Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industries
- AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF)
Keywords
Where Invisible Technologies is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices7 records
Markets served
Invisible Technologies business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure, Supply Chain
Revenue model
- Work-as-a-Service Engagements: Custom AI deployment engagements where Invisible embeds Forward Deployed Engineers with the client's operations team to identify problems and build AI-augmented workflows; primarily delivered as multi-month or ongoing enterprise contracts. Functions as managed services with a software-style delivery model.
- AI Software Platform Subscription: Recurring revenue from the modular AI Software Platform (Neuron, Atomic, Meridial, Synapse, Axon) used by enterprises for data management, workflow automation, and agentic AI solutions; supports enterprise-scale deployment.
- AI Training Data & Annotation Services: Human-in-the-loop data cleaning, model fine-tuning, and RLHF annotation services provided to foundation model providers and enterprises building frontier models; delivered to clients including Microsoft, AWS, and Fortune 500 companies.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Custom enterprise pricing for the modular AI Software Platform and Forward Deployed Engineering engagements |
Go-to-market motion4 records
Distribution channels5 records
Marketing channels8 records
Invisible Technologies product offering
Product offeringCore offering
Invisible Technologies sells a modular AI Software Platform composed of five named modules - Neuron (data platform), Atomic (process builder), Meridial (24,000+ vetted expert network), Synapse (evaluations), and Axon (governed AI agents) - and delivers it alongside a Forward Deployed Engineering model that embeds engineers inside enterprise client operations. The platform and services are used by foundation model providers for AI training, RLHF, and evaluation, and by Fortune 500 enterprises to automate workflows, build custom AI solutions, and deploy agentic AI across back-office, contact center, computer vision, and forecasting use cases.
Product overview
Invisible Technologies operates a unified modular AI platform - branded internally as the "AI Software Platform" or "AI Process Platform" - composed of five named modules: Neuron (data platform), Atomic (process builder), Meridial (expert network with 24,000+ vetted experts), Synapse (evaluations), and Axon (governed AI agents). These modules plug together to deliver enterprise AI solutions across vertical-specific offerings including AI Training (annotation/RLHF), Back Office Automation, Computer Vision, Contact Center, Demand Forecasting, RL Environments, App Modernization, Investment Analysis, and Custom Solutions. The company pairs the platform with a Forward Deployed Engineering model and a global expert marketplace to move enterprise AI from pilot to production in weeks. The platform is model-agnostic and has been used to train foundation models for 80%+ of the world's leading AI providers (including Cohere, OpenAI, Anthropic, Google, ElevenLabs, and others). In March 2026, Invisible acquired WeCP, an AI-native technical assessment platform with 18,000+ scope-specific assessments and 2M+ real-world interview records, which is being integrated into Meridial to power expert validation and reinforcement learning workflows.
Differentiator
Problem solved
Functional benefit
Brands
- Meridial: Global network of vetted experts deployed on demand for AI training, labeling, stress-testing, and edge cases; operated as a distinct platform with its own domain (meridial.ai). Now also incorporates the acquired WeCP assessment capabilities.
- Neuron
- Atomic
- Synapse
- Axon
Products and services
- Neuron Data platform module of the Invisible AI Software Platform that pulls messy, scattered data from across enterprise systems into one governed place, automatically cleaning and organizing it. Builds a living map of business entities (orders, inventory, customers, processes) so models and workflows know where to look. For enterprise customers and AI labs needing structured, AI-ready data foundations.
- Atomic Process builder module of the Invisible AI Software Platform that maps how work actually gets done and runs every step automatically - pulling from systems, routing to the right AI or person, enforcing quality checks, and sending clean results back. Enables gradual replacement of manual steps with AI without ripping out legacy processes; for enterprise customers seeking process automation.
- Meridial Global expert network module of the Invisible AI Software Platform with 24,000+ vetted domain experts deployable on demand, sourced by skill, language, and domain expertise. Used for labeling training data for frontier models, stress-testing AI systems, and handling edge cases. For AI labs and enterprises needing human-in-the-loop support.
- Synapse Evaluation module of the Invisible AI Software Platform that runs AI systems through realistic work scenarios using criteria like accuracy, safety, tone, and domain fit, with automated checks and side-by-side model comparisons. Used by Cohere to evaluate Command A vs. competitors. For foundation model providers and enterprises evaluating AI quality.
- Axon Governed agent module of the Invisible AI Software Platform that lets enterprises deploy AI agents which think through complex multi-step work, use tools, and write code when needed. Each workflow is versioned, trackable, and separated by customer. Customers report +70% reduction in workflow processing time. For enterprises deploying agentic AI in production.
- AI Training Research-grade annotation, training, and evaluation service blending elite global talent with automation, delivering training data for foundation models across 40+ coding languages and 30+ human languages. Has reportedly trained over 80% of the world's leading AI models, including RLHF for hallucination reduction. For AI labs and foundation model providers.
- Back Office Automation Vertical solution built on Atomic and Axon that automates complex or tedious back-office work that buries teams, handling messy data inputs and complex logic with human-informed precision. Reduces process complexity by ~80% versus legacy approaches. For enterprise operations teams across banking, insurance, healthcare, and asset management.
- Computer Vision Vertical solution that converts motion into structured time-series data to support high-stakes decisions. Use cases include sports performance analysis (Charlotte Hornets), industrial proximity detection, infrastructure inspection (drone-based crack/corrosion detection), and security monitoring. For enterprises with computer vision and video analytics needs.
- Contact Center Vertical solution for contact center intelligence with unified data, automated QA, sentiment/risk signals, manager-ready dashboards, and AI voice agents. Can evaluate 100% of interactions against set policies and quality standards. For enterprise contact center operations teams.
- Demand Forecasting Vertical solution delivering decision-ready forecasts shaped around enterprise data, operations, and reality. Models are trained on transactional flows, operational constraints, resource allocation, and historical performance before being validated against historical data and deployed with monitoring. For enterprises needing inventory, supply, and operational forecasting.
- RL Environments Expert-built reinforcement learning environments informed by real workflows and verified with domain experts. Designed for agents that need to do more than pass a test, focusing on economically-viable workflows across coding, accounting, banking transactions, and legal contracts. For AI labs building agentic and RL systems.
- Custom Solutions Bespoke enterprise AI implementation service that combines only the platform components (Neuron, Atomic, Meridial, Synapse, Axon) needed for unique business friction. Built for enterprises whose AI challenges fall outside the standard menu of solutions.
- WeCP (We Create Problems) AI-native technical assessment platform acquired by Invisible in March 2026, containing 18,000+ role-specific assessments and 2M+ real-world interview records across engineering, banking, healthcare, finance, and STEM. Being repositioned as the human intelligence layer for AI model training and validation, integrated into Meridial. For AI labs and enterprises needing high-precision expert validation.
Quantifiable outcome
- Trained foundation models for more than 80% of the world's leading AI model providers
- +6 more outcomes
Companies that use Invisible Technologies
Customer profileNamed customers11 records
Segments6 records
Ideal customer profiles5 records
Invisible Technologies technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration11 records
AI capability18 records
Feature7 records
Invisible Technologies partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered flagship, core and minor.
- WeCPflagshipInvisible acquired AI-native technical assessment platform WeCP in March 2026; WeCP brings 18,000+ scope-specific assessments and 2M+ real-world interview records spanning engineering, banking, healthcare, and finance. Its evaluation infrastructure is being integrated into Invisible's Meridial platform to strengthen expert validation and reinforcement learning workflows. Co-founders Abhishek Kaushik and Mohit Goyal joined Invisible.
- AWS (Amazon Web Services)flagshipFeatured as a partner on Invisible's Partnerships page; AWS is also a customer and introduced Boosted.ai to Invisible. Logo appears across home, About, and How-we-work pages.
- MicrosoftflagshipFeatured partner on the Partnerships page; named as a Fortune 500 client receiving AI training data and platform services. Logo appears on the home page and footer.
- GoogleflagshipListed as a partner on the Partnerships page alongside AWS, Microsoft, and Cohere as part of Invisible's ecosystem of cloud and AI infrastructure providers.
- CohereflagshipStrategic customer and partner; Invisible provided expert annotators and blind human evaluations that helped Cohere's Command A model achieve a 51.7% average win rate vs. larger competitors across enterprise tasks. Cohere is featured in a case study and on the Partnerships page.
- AI21 LabscoreListed on the Partnerships page among AI ecosystem partners.
- EncordcoreListed on the Partnerships page among AI ecosystem partners.
- CarahsoftcoreGovernment IT distributor enabling Invisible's public sector distribution channel; complements SVP of Global Public Sector Wes Green's federal/state go-to-market strategy.
- Partnership on AIminorListed as a partner on Invisible's Partnerships page, indicating collaboration with the multi-stakeholder AI policy organization.
- World Economic ForumminorListed as a partner on the Partnerships page, suggesting alignment with WEF initiatives on AI governance and enterprise AI adoption.
- ElevenLabscoreFeatured logo on the home page, About page, and Careers page among Invisible's enterprise customers and partners.
Scale indicators14 records
Recent moves7 records
Expansion highlights7 records
Invisible Technologies competitors and assessment
Company assessmentDirect peers
- Scale AI: Scale AI is the largest direct competitor in AI training data, RLHF annotation, and evaluation services for foundation model providers. Both companies sell research-grade human-in-the-loop data, fine-tuning, and model evaluation to frontier AI labs and Fortune 500 enterprises, making Scale the closest comparable on offering and customer base.
- Surge AI: Surge AI is a direct competitor in frontier RLHF data labeling and evaluation, particularly for LLM fine-tuning. Both companies serve foundation model developers with expert annotators and human evaluation pipelines, competing head-to-head for AI lab and enterprise evaluation spend.
- Appen: Appen is a publicly traded AI training data and annotation services provider, offering data collection, labeling, and model evaluation at global scale. Both companies monetize human-in-the-loop data services for ML/AI workloads, with Appen serving as a public-market comparable for Invisible's data services revenue.
- Telus International AI (formerly Lionbridge AI): Telus International AI Data Solutions offers data annotation, collection, and validation for AI/ML models at enterprise scale. It is one of the largest global competitors in AI training data services, comparable in customer mix (Fortune 500 + AI labs) and delivery model (managed human-in-the-loop services).
Emerging players
- Labelbox: Labelbox provides a data labeling and evaluation platform for AI teams. It overlaps with Invisible's Neuron/Meridial modules but is more product/PLG-led rather than service-led, making it a partial comparator for the platform side of Invisible's business.
- Snorkel AI: Snorkel AI focuses on programmatic data labeling and weak supervision for enterprise AI. It targets similar enterprise AI buyers as Invisible but emphasizes automated labeling over human-in-the-loop expertise, positioning it as a competing approach to the same use case.
Broad incumbents
- DataRobot: DataRobot is an established enterprise AI platform offering AutoML, MLOps, and applied AI services. While broader in scope than Invisible's process-focused platform, both serve Fortune 500 customers deploying AI into production workflows.
- C3.ai: C3.ai is an enterprise AI application platform selling pre-built and custom AI solutions to large organizations. It competes with Invisible in the enterprise AI deployment space, particularly for industries like energy and financial services where both companies have public customers.
- Palantir Technologies: Palantir is a major enterprise data and AI platform serving governments, financial institutions, and large corporates. It overlaps with Invisible's enterprise AI workflow and public sector plays, with AIP offering a competing AI deployment narrative for similar buyers.
- Booz Allen Hamilton: Booz Allen Hamilton is a large government and defense consulting firm with a growing AI practice serving federal agencies. It is comparable as a public-sector AI services channel competitor and enterprise AI integrator, especially relevant given Invisible's Carahsoft and federal GTM motion.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Invisible Technologies social profiles
Digital presenceInvisible Technologies compliance and trust
Trust signalCompliance5 records
Invisible Technologies financial estimates
Financial estimateRevenue estimate
Valuation estimate
Invisible Technologies leadership team
Management profileNumber of profiles
Profiles19 records
Invisible Technologies subsidiaries and ownership
Company hierarchySubsidiaries1 record
Invisible Technologies funding detail
Funding detailFunding overview
Funding rounds6 records
Investors19 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Invisible Technologies M&A and investment
M&A and investmentM&A1 record
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Invisible Technologies
What does Invisible Technologies do?
Invisible Technologies sells a modular AI Software Platform composed of five named modules - Neuron (data platform), Atomic (process builder), Meridial (24,000+ vetted expert network), Synapse (evaluations), and Axon (governed AI agents) - and delivers it alongside a Forward Deployed Engineering model that embeds engineers inside enterprise client operations. The platform and services are used by foundation model providers for AI training, RLHF, and evaluation, and by Fortune 500 enterprises to automate workflows, build custom AI solutions, and deploy agentic AI across back-office, contact center, computer vision, and forecasting use cases.
Is Invisible Technologies a public or private company?
Invisible Technologies is a private company. It is classified as venture growth investor backed and is currently operating.
When was Invisible Technologies founded?
Invisible Technologies was founded in 2015. It employs 251 to 500 people.
Where is Invisible Technologies based?
Invisible Technologies is headquartered in San Francisco, United States, in the North America region.
How does Invisible Technologies make money?
Three revenue lines are on record. Work-as-a-Service Engagements are the primary driver. The others are AI Software Platform Subscription and AI Training Data & Annotation Services.
Who are Invisible Technologies's main competitors?
Direct peers on record are Scale AI, Surge AI, Appen and Telus International AI (formerly Lionbridge AI). Emerging players are Labelbox and Snorkel AI. Broad incumbents are DataRobot, C3.ai, Palantir Technologies and Booz Allen Hamilton.
Does Invisible Technologies have an API?
No public API is recorded for Invisible Technologies.
What industry is Invisible Technologies in?
Invisible Technologies's product category is Enterprise AI Process Platform. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI). Its NAICS code is 5132 and its SIC code is 7372.