Squared AI

What Squared AI does

AISquared provides infrastructure for agentic enterprise AI, enabling organizations to build, deploy, and govern AI applications across their existing systems. Built on the AI Controls Framework, AISquared connects trusted data, governed workflows, embedded delivery, and continuous feedback in one secure platform. It addresses challenges in enterprise AI deployment such as slow production times, fragmented AI stacks, and lack of traceability. The platform offers capabilities to simplify data and AI integrations with over 100 connectors, build and scale AI-powered workflows in natural language, and integrate AI insights directly into business applications like Salesforce, Dynamics 365, and ServiceNow. AISquared emphasizes zero-trust security with authentication, authorization, logging, role-based access, audit trails, and encrypted data flows. It also facilitates continuous improvement through standardized feedback collection. AISquared offers proprietary models, part of the Bolt family, designed for specific enterprise tasks like routing requests, applying guardrails, retrieving context, reading documents, and supporting workflow automation. These models work within the UNIFI platform to improve speed, reduce cost, control data, and ensure reliable outputs.

Products

• UNIFIA platform that brings together control layers for production AI, including trusted data access, workflow orchestration, embedded delivery, security, governance, and continuous improvement. It is designed for enterprises scaling AI and for mission-critical AI in secure federal environments. UNIFI uses Bolt models to route tasks to the right model or workflow, improving speed, reducing cost, and ensuring reliable outputs.
• SparxSparx agents for growing businesses that need to implement AI without a complete infrastructure overhaul.
• Bolt model familyProprietary models built to support key parts of enterprise AI systems, designed to work with enterprise data and applications through UNIFI, produce structured outputs, support secure deployment, improve RAG, document processing, and workflow automation, and help control cost and latency through model routing.
• Bolt InstructModels within the Bolt family for structured outputs, routing, and guardrails. They help UNIFI decide what should happen next, support tasks requiring consistency, control, and safe behavior, and are used for general chat and instruction-following tasks.
• Bolt EmbeddingModels within the Bolt family for accurate retrieval and context. They help UNIFI find the right information before a model generates an answer, improve search across documents and systems, support RAG workflows, and ground responses in trusted sources. Includes Bolt-Small for broad candidate retrieval and Bolt-Large for precision reranking.
• Bolt Vision (Bolt-VL)Models within the Bolt family built for business documents and visual content. They can extract fields from invoices, reports, and forms, read tables and layouts, convert unstructured documents into structured data, and answer questions about documents and images.

Key capabilities

• AI Controls Framework
• 100+ connectors across data sources, LLMs, or custom models/data sources
• Natural language workflow building
• Integration into existing systems (Salesforce, Dynamics 365, ServiceNow, Slack)
• Zero Trust security for enterprise AI
• Role-based access
• Audit trails
• Encrypted data flows
• Standardized feedback collection
• Agentic workflows
• Intelligent model routing
• Enterprise controls
• Real-time analytics
• Purpose-built suite of specialized models
• Accurate AI responses
• Optimized cost and latency
• Guardrails and quality control
• Enterprise-grade reliability
• Proprietary models for specific enterprise tasks
• Structured outputs for business systems
• Secure deployment (on-prem, VPC, restricted environments)
• Model Flexibility
• Enterprise Guardrails
• Closed-Loop Improvement
• Inline Governance

Use cases

• Building, deploying, and governing AI applications
• Integrating AI into enterprise systems
• Automating processes
• Delivering insights inside CRM and finance tools
• Reducing manual reporting
• Routing requests to the right model or workflow
• Producing structured responses for systems
• Classifying tasks by type, risk, or complexity
• Detecting sensitive data and unsafe content
• Supporting guardrails on inputs and outputs
• Powering LLM-as-judge checks for quality review
• General chat and instruction-following tasks
• Retrieving relevant enterprise data
• Improving search across documents and systems
• Supporting RAG workflows
• Grounding responses in trusted sources
• Extracting fields from invoices, reports, and forms
• Reading tables and layouts
• Converting unstructured documents into structured data
• Supporting approvals, data entry, and downstream workflows
• Answering questions about documents and images

AI approach

AISquared builds proprietary models (Bolt model family) for enterprise tasks such as routing requests, applying guardrails, retrieving context, reading documents, and supporting workflow automation. These models are designed to work within their UNIFI platform to improve speed, reduce cost, and provide reliable outputs. The Bolt family includes Bolt Instruct for structured outputs, routing, and guardrails; Bolt Embedding for accurate retrieval and context; and Bolt Vision for document understanding and extraction.

Tech named: Bolt model family, Bolt Instruct, Bolt Embedding, Bolt-Small, Bolt-Large, Bolt Vision, Bolt-VL, RAG, LLM-as-judge

Industries served

• Enterprise
• Federal

What it says sets it apart

• Focus on enterprise deployment challenges (slow production, fragmented stacks, no traceability)
• One platform to connect, deliver, and govern AI
• Proprietary Bolt model family designed for specific enterprise tasks
• Ability to handle complex and intensive data labeling and annotation datasets
• Built for Enterprise, Federal, and Growth Teams (UNIFI for enterprise/federal, Sparx for growing businesses)
• Emphasis on real outcomes: deployment, usage, and measurement of AI
• Agentic workflows built in natural language with enterprise controls
• Purpose-built suite of specialized models with intelligent routing
• Secure deployment options including on-prem, VPC, and restricted environments
• Model Flexibility, Enterprise Guardrails, and Closed-Loop Improvement as core value propositions

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.