Scaled Cognition Company Profile

Background

Overview

Scaled Cognition is a privately held company specializing in the development of rational and controllable AI models designed to function as domain experts in real-world applications. Founded in 2022 and headquartered in Berkeley, California, the company operates within the Business/Productivity Software industry, focusing on SaaS solutions and Artificial Intelligence & Machine Learning technologies.

Mission and Vision

The company's mission is to create AI models that are rational, controllable, and capable of serving as domain experts for practical, real-world applications. This vision underscores their commitment to advancing AI technology to meet the needs of various industries.

Key Strategic Focus

Core Objectives

Scaled Cognition aims to develop AI models that are rational, controllable, and can serve as domain experts for practical, real-world applications.

Areas of Specialization

The company specializes in creating AI models optimized for actions rather than token prediction, ensuring correct API orchestration, strict policy adherence, and elimination of hallucinations. This focus makes their models uniquely reliable for complex, consequential applications such as customer experience (CX) automation.

Key Technologies Utilized

Scaled Cognition employs several key technologies, including:

• Agentic Pretrained Transformer (APT-1): The world's first deterministically controllable agentic Large Language Model (LLM) optimized for actions rather than token prediction, ensuring correct API orchestration, strict policy adherence, and elimination of hallucinations.

• Agent Builder Platform: A web-based tool that allows users to create, test, and improve AI agents easily with low engineering effort. It includes defining APIs and connecting external data sources, specifying agent behavior and business logic, interaction with agents in a simulated environment, and GenAPI™ technology to simulate function outputs for rapid agent development before real API integration.

• Synthetic Training Data Pipeline: Utilizes a fully synthetic agentic data pipeline requiring no human-labeled data, solving the challenge of scarce high-quality training data that links conversations with actions.

• Reinforcement Learning via Agent-to-Agent Self-Play: A novel training method adapted from game AI to teach agents proper action execution while respecting business policies.

Primary Markets Targeted

Scaled Cognition's solutions are applicable across various industries, including:

• Financial Services: Enhancing customer interactions and streamlining processes in banking and financial services.

• Healthcare: Improving patient support, appointment scheduling, and medical inquiries.

• Retail & E-Commerce: Optimizing shopping experiences with intelligent automation and support.

• Telecom & Utilities: Enhancing customer interactions in telecom, energy, and essential service sectors.

• Travel & Logistics: Automating bookings, tracking, and support in travel, shipping, and logistics.

• Technology & IT Services: Supporting IT troubleshooting, automation, and customer assistance.

Financials and Funding

Funding History

As of March 13, 2023, Scaled Cognition completed a Series A funding round, raising $21 million.

Notable Investors

The company has secured investment from SilverCircle, a venture capital firm.

Utilization of Capital

The raised capital is intended to support the development and deployment of Scaled Cognition's AI models and platforms, enhancing their capabilities and expanding their market reach.

Pipeline Development

Key Pipeline Candidates

Scaled Cognition is developing several key pipeline candidates, including:

• Agentic Pretrained Transformer (APT-1): A deterministically controllable agentic Large Language Model optimized for actions rather than token prediction.

• Agent Builder Platform: A web-based tool for creating, testing, and improving AI agents with low engineering effort.

• Synthetic Training Data Pipeline: A fully synthetic agentic data pipeline requiring no human-labeled data.

Stages of Development

These candidates are in various stages of development, with the company focusing on refining their capabilities and preparing for deployment in real-world applications.

Target Conditions

The primary focus is on developing AI models that can serve as domain experts across various industries, including financial services, healthcare, retail, telecom, travel, and technology.

Anticipated Milestones

Scaled Cognition aims to achieve rapid deployment of their AI agents, typically within an hour, reducing development time and risk.

Technological Platform and Innovation

Proprietary Technologies

Scaled Cognition's proprietary technologies include:

• Agentic Pretrained Transformer (APT-1): A deterministically controllable agentic Large Language Model optimized for actions rather than token prediction.

• Agent Builder Platform: A web-based tool for creating, testing, and improving AI agents with low engineering effort.

• Synthetic Training Data Pipeline: A fully synthetic agentic data pipeline requiring no human-labeled data.

• Reinforcement Learning via Agent-to-Agent Self-Play: A novel training method adapted from game AI to teach agents proper action execution while respecting business policies.

Significant Scientific Methods

The company employs reinforcement learning via agent-to-agent self-play, a novel training method adapted from game AI to teach agents proper action execution while respecting business policies.

AI-Driven Capabilities

Scaled Cognition's AI-driven capabilities include:

• Deterministic AI: Guaranteeing deterministic and guaranteed correct behavior in agentic workflows, unlike general-purpose GPT models.

• Synthetic Training Data Pipeline: Utilizing a fully synthetic agentic data pipeline requiring no human-labeled data, solving the challenge of scarce high-quality training data that links conversations with actions.

Leadership Team

Executive Profiles

• Dan Roth: Co-Founder & Chief Executive Officer.

• Damon Pender: Co-Founder & Chief Financial Officer.

• Daniel Klein, Ph.D.: Co-Founder & Chief Technology Officer.

Professional Backgrounds and Contributions

Specific details regarding the professional backgrounds and contributions of the leadership team are not available in the provided sources.

Competitor Profile

Market Insights and Dynamics

The AI industry, particularly in the realm of AI agents and automation, is experiencing rapid growth, with increasing demand for intelligent solutions across various sectors. Companies like Scaled Cognition are well-positioned to capitalize on this trend by offering specialized AI models and platforms.

Competitor Analysis

Key competitors in the AI agent and automation space include:

• CognitiveScale: An enterprise AI platform that was acquired by Tecnotree in December 2022.

• Cognition AI: A company specializing in AI coding tools, backed by Peter Thiel's Founders Fund, with a valuation of $350 million as of early 2024.

Strategic Collaborations and Partnerships

Specific details regarding Scaled Cognition's strategic collaborations and partnerships are not available in the provided sources.

Operational Insights

Scaled Cognition differentiates itself through its focus on developing AI models optimized for actions rather than token prediction, ensuring correct API orchestration, strict policy adherence, and elimination of hallucinations. This approach makes their models uniquely reliable for complex, consequential applications such as customer experience (CX) automation.

Strategic Opportunities and Future Directions

Scaled Cognition is well-positioned to expand its market presence by leveraging its innovative AI models and platforms to address the growing demand for intelligent automation solutions across various industries.