Invisible
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About
Invisible is an enterprise-grade AI orchestration platform that bridges the gap between frontier AI innovation and real-world business operations. Unlike standard software-as-a-service tools, it provides a unique "services-to-software" approach, combining a modular technological stack with a global network of elite human experts. The platform specializes in training high-performance large language models (LLMs) and deploying them into complex enterprise environments, having contributed to the development of over 80% of the world's leading AI models. By focusing on the infrastructure behind the intelligence, Invisible helps organizations move past experimental pilots into full-scale operational deployment. The core of the platform is built on modular "building blocks" rather than opaque black boxes. This includes Synapse for rigorous evaluation of quality and safety, a dedicated data platform for standardizing messy datasets, and a process builder for mapping manual workflows into automated agents. By embedding engineers and domain experts directly into the deployment process, Invisible ensures that AI systems are grounded in specific corporate policies and real operational data, rather than generic training sets. This methodology allows for the creation of durable, adaptable, and precise systems that master the complexity of enterprise logic. The solution is specifically designed for large-scale organizations in sectors like asset management, healthcare, insurance, and the public sector. It serves two primary audiences: AI model developers who require high-quality, research-grade training data, and enterprise leaders who need to integrate AI into core workflows. For contact centers, it provides real-time intelligence and automated quality assurance across voice, chat, and email channels. What sets Invisible apart is its commitment to the "hard yards" of deployment—the human work required to make software survive in reality. Their focus on custom evaluations, proactive sentiment signals, and intent-aware routing allows businesses to scale support and back-office functions without sacrificing human judgment or data security.
Pros & Cons
Proven track record training over 80% of the world's leading AI models.
Modular system architecture that avoids the limitations of 'black box' solutions.
Maintains SOC2, HIPAA, and GDPR compliance for secure enterprise handling of PII.
Combines a global network of elite human experts with automated workflow orchestration.
Real-time interaction scoring that identifies performance gaps in production models.
Does not offer a self-service free tier for individual developers or small teams.
Requires a manual demo booking process for pricing and onboarding.
High level of service complexity may be unnecessary for simple automation tasks.
Maximum effectiveness is dependent on maintaining a continuous human-in-the-loop cycle.
Use Cases
LLM Developers can source research-grade training data and rigorous safety evaluations to improve frontier model performance.
Contact Center Managers can unify fragmented voice and chat data into a single dashboard to monitor sentiment and automate quality assurance.
Asset Managers can utilize custom computer vision and data processing models to validate investment analysis and draft insights.
Insurance Providers can automate complex back-office workflows and manual data entry tasks while maintaining strict compliance standards.
Retail Leaders can implement intent-aware routing to reduce unnecessary transfers and accelerate agent ramp time.
Platform
Features
• manager-ready dashboards
• proactive sentiment signaling
• agent-ready workflow builder
• computer vision model training
• human-in-the-loop training
• multi-channel data normalization
• expert marketplace access
• synapse evaluation system
FAQs
How does Invisible handle fragmented contact center data?
The platform unifies voice, chat, email, and CRM data into a canonical schema with full lineage. This normalization allows leaders to run reliable analytics, journey tracking, and intent-aware routing across all communication systems.
Can I use Invisible if my organization's data isn't perfect?
Yes, you can start with existing call transcripts or CRM outcomes and improve labels and quality iteratively. The system is designed to deliver value through analytics and QA while data quality is refined over time.
What is the primary cause of enterprise AI project failure according to Invisible?
Projects often fail when enterprises skip the human work and drop AI into messy systems without mapping work as it really happens. Invisible solves this by embedding engineers to build systems that are durable and grounded in reality.
How are AI agents supported by human expertise on this platform?
Humans stay in control by handling moments that require judgment and correcting AI outputs. The platform uses these corrections to improve models in production, ensuring agents become more effective with every interaction.
How does the platform manage compliance and PII?
Invisible enforces role-based access control, retention policies, and encryption across unified data. This makes compliance checks and redaction traceable, reducing audit risk when conversations include financial or personal information.
Pricing Plans
Enterprise
Unknown Price• Modular AI platform access
• Custom model training
• Expert marketplace integration
• Synapse evaluation platform
• Dedicated implementation engineering
• Compliance (SOC2, HIPAA, GDPR)
• Workflow automation
• Agentic enterprise task execution
Job Opportunities
Enterprise Solutions Manager
Scale enterprise AI operations by transforming messy data into agent-ready workflows with human-in-the-loop training and rigorous performance evaluations.
Benefits:
Fair and competitive pay
Bonuses
Equity
Experience Requirements:
Experience in consulting, banking, technology, or high-growth startup environments
Proven track record building operations and processes from 0-1
Strong project management experience with complex, multi-stakeholder initiatives
5+ years experience in a client-facing role working with enterprise accounts
Advanced proficiency in Excel, Google Suite, and data analysis tools
Other Requirements:
Experience with SQL, business intelligence tools, or automation platforms preferred
Exceptional communication skills
Ability to thrive in fast-paced, ambiguous environments
Strong bias toward action with demonstrated ownership mentality
Responsibilities:
Partner with Directors on client meetings, requirement scoping, and strategic solution design
Serve as bridge between enterprise clients, global talent network, and internal delivery teams
Design and implement scalable operational processes from 0-1
Collaborate extensively with product and engineering teams on technical handoffs and automation
Lead project delivery, performance analysis, and quality optimization across workflows
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