LLM at Scale.AI
LLM at Scale.AI is a Singapore-based enterprise AI company founded in 2023 that builds a multi-agent orchestration platform coordinating LLMs and specialized task agents for government agencies and Fortune 500 enterprises across compliance, energy, and safety use cases.
- Company typePrivate
- Founded2023
- HeadquartersBengaluru, India
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What LLM at Scale.AI does
LLM at Scale.AI is a Singapore-incorporated enterprise AI company (LLM At Scale PTE.Ltd.) founded in 2023 that builds an agentic AI platform for orchestrating multiple large language models and specialized task agents to automate complex business processes. Its core product, the Multi-Agent Orchestration Platform, coordinates supervising, collaboration, and task/specialty agents and integrates with enterprise systems across AWS Bedrock, Google Cloud, and Microsoft Azure using frameworks such as LangChain and AutoGPT. Adjacent products include FacilityGuard AI (autonomous building compliance and public safety, priced from $83/building), an Energy Management Platform for facility optimization, a Guardrails safety framework, and an LLM Evaluation Platform supporting LLM-as-Judge and Human-in-the-Loop Feedback.
The company targets government agencies and Fortune 500 enterprises through a direct enterprise field sales motion, supported by strategic technology partnerships with Google, OpenAI, AWS, Microsoft Azure, IBM, and Arize, and channel partnerships with CBRE and JLL. Named deployments include California state agencies (DMV, FI$Cal, EDD, Caltrans), Singapore's JTC Corporation, and enterprises such as Otis, Procter & Gamble, Marriott, and Fusable. Revenue is generated primarily through recurring enterprise subscriptions and per-building SaaS pricing, with disclosed FacilityGuard volumes of 500+ portfolios and 3,500+ compliance renewals.
The firm is privately held and appears bootstrapped or founder-funded, with no disclosed venture funding rounds and a team of 11-50 employees operating across Singapore, Bengaluru, and the United States. It holds an AAMVA Award for Innovation (2024) for the California DMV license plate ML algorithm and was named a Global Startup Summit 2025 winner. Academic and innovation affiliations include MIT, Harvard Innovation Lab, UC Davis, NTU Singapore, and Ngee Ann Polytechnic.
LLM at Scale.AI firmographics
Firmographics- Name
- LLM at Scale.AI
- Legal name
- LLM At Scale PTE.Ltd.
- Website
- https://llmatscale.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- LLM at Scale.AI is a Singapore-based enterprise AI company founded in 2023 that builds a multi-agent orchestration platform coordinating LLMs and specialized task agents for government agencies and Fortune 500 enterprises across compliance, energy, and safety use cases.
- Ownership category
- akta.pro rank
LLM at Scale.AI industry classification
Industry- Product category
- Enterprise Agentic AI Platform
- NAICS
- Computer Systems Design Services (541512), Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF)
- akta.pro secondary industries
- LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), LLM/GenAI Guardrails & Safety Controls (policy, filtering, routing) (HDAAAKAD), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)
Keywords
Where LLM at Scale.AI is headquartered
LocationHeadquarters
- HQ city
- Bengaluru
- HQ country
- India
- HQ region
- Asia
Offices2 records
Markets served
LLM at Scale.AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- FacilityGuard AI Subscription: Per-building subscription pricing for autonomous compliance AI. Includes zero setup fees and automatic volume discounts up to 20% for larger portfolios.
- Multi-Agent Orchestration Platform: Enterprise platform licensing for multi-agent AI orchestration, likely subscription-based for government and enterprise deployments.
- Industrial Agent Solutions: Pre-built industry-specific agents (public sector, energy, retail, health, consumer) delivered as tailored GenAI solutions through strategic partnerships.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | FacilityGuard AI per building |
| Subscription | Annual | Enterprise portfolio pricing |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels5 records
LLM at Scale.AI product offering
Product offeringCore offering
LLM at Scale.AI builds an enterprise-grade agentic AI platform that orchestrates multiple large language models and specialized AI agents to automate complex business processes. Its product suite includes a Multi-Agent Orchestration Platform, FacilityGuard AI for autonomous building compliance and public safety, an Energy Management Platform for facility optimization, Guardrails for AI safety and compliance, and an LLM Evaluation Platform with Human-in-the-Loop Feedback. The company also delivers pre-built industrial agents and use cases for government, enterprise, energy, and education customers.
Product overview
LLM at Scale.AI is an industry-leading enterprise platform for multi-agent AI orchestration, delivered as a unified platform-plus-modules architecture. The core platform coordinates supervising, collaboration, and task/specialty agents across enterprise LLMs to automate complex business processes. Key integrated modules include: FacilityGuard AI (autonomous building compliance and public safety), the Energy Management Platform (AI-driven energy efficiency and operational optimization), Guardrails (enterprise AI safety and compliance framework), and the LLM Evaluation Platform (model benchmarking and Human-in-the-Loop Feedback). The platform also offers a library of pre-built industrial agents for public sector, energy, consumer, and retail use cases, alongside a publications portfolio covering multi-agent orchestration, guardrails, semantic search, LLM-as-a-Judge, AI ethics, prompt engineering, conversational AI, data science, and Python for enterprise. The platform integrates enterprise data sources including Schneider Electric, Johnson Controls, Honeywell, Cloud SQL, BigQuery, and supports evaluation frameworks like DeepEval, RAGAS, Phoenix, LangChain, HuggingFace Evaluate, and OpenAI Evals.
Differentiator
Problem solved
Functional benefit
Brands
- FacilityGuard AI: The world's first Agentic AI platform purpose-built for building compliance, certifications, and public safety. It operates autonomously across inspections, regulatory workflows, and incident response.
Products and services
- Multi-Agent Orchestration Platform An enterprise platform for multi-agent AI orchestration that coordinates multiple LLMs and specialized task agents to automate complex business processes. The platform orchestrates supervising agents, collaboration agents, and task agents to deliver autonomous decision-making, reasoning, and adaptive business process execution for government and large enterprises.
- FacilityGuard AI An agentic AI platform purpose-built for building compliance, certifications, and public safety. FacilityGuard AI autonomously coordinates across tenants, building owners, regulators, and facility managers to enforce building codes, automate inspections, manage compliance renewals, and coordinate public safety responses. Offered as SaaS starting at $83/building with no setup fees and volume discounts up to 20%.
- Energy Management Platform A unified multi-agent platform for AI-driven operational excellence and energy efficiency in commercial and industrial facilities. Deploys specialized agents for space optimization, HVAC/electrical management, layout planning, occupant comfort, renewable energy management, and predictive maintenance, targeting up to 70% energy efficiency gains.
- Guardrails AI Safety & Compliance Framework An enterprise-grade guardrail framework for deploying safe, secure, and trustworthy generative AI systems. Provides content control, word/phrasing control, sensitive information masking, real-time blocking, centralized compliance monitoring, and PII redaction across text, numerical, image, audio, and multimodal data types, integrating with Amazon Bedrock Guardrails.
- LLM Evaluation Platform An enterprise-level LLM evaluation and benchmarking platform that assesses model performance, security, cost efficiency, and compliance across multiple LLM providers. Integrates leading open-source frameworks (DeepEval, RAGAS, Phoenix, LangChain, HuggingFace Evaluate, OpenAI Evals, LangTest, LLM Eval Harness) and provides LLM-as-a-Judge evaluation with Human-in-the-Loop Feedback.
- Agentic AI Research Lab An industrial intelligence research lab uniting researchers, data scientists, operators, and policymakers to develop autonomous agents for industrial and government applications. The lab co-develops with industry leaders, trains on live operational data, and deploys solutions in high-stakes environments across adaptive language models, multimodal AI, AI-driven simulations, transfer learning, and collaborative AI agents.
Quantifiable outcome
- Up to 70% more process automation
- +15 more outcomes
Companies that use LLM at Scale.AI
Customer profileNamed customers10 records
Segments4 records
Ideal customer profiles4 records
LLM at Scale.AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration15 records
AI capability18 records
Feature8 records
LLM at Scale.AI partnerships and signals
Strategic signalPartnerships
16 partnerships are on record, tiered core, key and minor.
- GooglecoreStrategic technology partnership for delivering GenAI and LLM solutions. Google partnership enables integration capabilities and co-innovation for enterprise deployments.
- OpenAIcoreStrategic partnership for OpenAI model integration. Enables access to GPT models for enterprise AI solutions and multi-agent orchestration capabilities.
- Amazon Web Services (AWS)coreAWS Bedrock Agents integration for secure, scalable enterprise deployments. Multi-cloud deployment support with AWS infrastructure.
- Microsoft AzurecoreMulti-cloud deployment partnership enabling Azure-based enterprise AI solutions and integration with Microsoft ecosystem.
- IBMcoreStrategic alliance for delivering robust, scalable GenAI and LLM solutions leveraging IBM technologies and enterprise relationships.
- Arize AIcoreIntegration with Arize Phoenix for AI observability and evaluation capabilities in enterprise LLM deployments.
- JTC CorporationkeyPilot deployments across 100+ buildings for compliance automation. JTC is Singapore's leading industrial infrastructure developer.
- CBREkeyCommercial real estate partnership for FacilityGuard AI deployment across building portfolios.
- JLLkeyGlobal commercial real estate services partnership for facility compliance and energy efficiency solutions.
- MITkeyAcademic engagement for research in Generative AI, LLMs, and industrial applications. MIT Sloan & CSAIL course collaboration.
- UC DaviskeyAcademic partnership for research collaboration in Generative AI, LLMs, and energy efficiency.
- Ngee Ann PolytechnickeySingapore polytechnic partnership for AI research, energy efficiency studies, and talent development programs.
- NTU SingaporekeyNanyang Technological University partnership for research in Generative AI, LLMs, and advanced industrial applications.
- Harvard Innovation LabkeyHarvard Innovation Lab affiliation accelerating AI innovation and startup ecosystem engagement.
- Rancho Cordova City CouncilminorCommunity partnership for After School Agentic AI Program and GenAI bootcamp education initiatives.
- SMUD (Sacramento Municipal Utility District)minorCommunity partnership for energy efficiency programs and educational initiatives.
Scale indicators15 records
Recent moves6 records
Expansion highlights6 records
LLM at Scale.AI competitors and assessment
Company assessmentDirect peers
- CrewAI: Multi-agent AI orchestration framework that coordinates role-based LLM agents for enterprise workflows. Directly comparable to LLM at Scale.AI's supervising/collaboration/task agent architecture and a primary direct competitor in the agentic AI orchestration category.
- Aisera: Enterprise agentic AI platform for IT service management, HR, customer service, and operations. Comparable to LLM at Scale.AI's conversational AI and process automation capabilities serving similar enterprise customers.
- Moveworks: Enterprise AI platform that deploys agents for IT support, HR, and employee service automation. Comparable in addressing regulated enterprise workflows with guardrails and enterprise-grade security requirements.
- LangChain: Open-source LLM orchestration framework with LangGraph for multi-agent systems, RAG, and tool use. LLM at Scale.AI explicitly builds on LangChain and AutoGPT, making LangChain a foundational direct peer and ecosystem partner.
- Kore.ai: Enterprise conversational AI and agent platform for customer experience, agent assistance, and process automation. Comparable in deploying AI agents across enterprise workflows with similar guardrails and evaluation tooling.
- AutoGen (Microsoft Research): Microsoft's open-source multi-agent framework for orchestrating conversable LLM agents. Directly overlaps with LLM at Scale.AI's multi-agent orchestration platform and is explicitly referenced as a build dependency.
Broad incumbents
- Salesforce Agentforce: Salesforce's enterprise agentic AI platform embedded within the CRM ecosystem. A broader incumbent competitor offering autonomous AI agents for sales, service, and operations with deep enterprise distribution.
- Amazon Bedrock Agents: AWS managed service for building and deploying generative AI agents natively integrated into the AWS ecosystem. A key ecosystem partner but also a competitive threat as it embeds orchestration features directly into the cloud platform.
Emerging players
- Relevance AI: AI workforce platform that enables teams to build and deploy AI agents and tools for business operations. Comparable agentic AI capabilities with a more self-serve go-to-market model targeting similar enterprise use cases.
- Cognosys: AI agent platform for autonomous task execution using multiple LLMs and tools. Comparable multi-agent architecture and RAG-based reasoning targeting enterprise productivity workflows.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
LLM at Scale.AI social profiles
Digital presenceLLM at Scale.AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
LLM at Scale.AI leadership team
Management profileNumber of profiles
Profiles5 records
LLM at Scale.AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
LLM at Scale.AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about LLM at Scale.AI
What does LLM at Scale.AI do?
LLM at Scale.AI builds an enterprise-grade agentic AI platform that orchestrates multiple large language models and specialized AI agents to automate complex business processes. Its product suite includes a Multi-Agent Orchestration Platform, FacilityGuard AI for autonomous building compliance and public safety, an Energy Management Platform for facility optimization, Guardrails for AI safety and compliance, and an LLM Evaluation Platform with Human-in-the-Loop Feedback. The company also delivers pre-built industrial agents and use cases for government, enterprise, energy, and education customers.
Is LLM at Scale.AI a public or private company?
LLM at Scale.AI is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was LLM at Scale.AI founded?
LLM at Scale.AI was founded in 2023. It employs 11 to 50 people.
Where is LLM at Scale.AI based?
LLM at Scale.AI is headquartered in Bengaluru, India, in the Asia region.
How does LLM at Scale.AI make money?
Three revenue lines are on record. FacilityGuard AI Subscription is the primary driver. The others are multi-Agent Orchestration Platform and industrial Agent Solutions.
Who are LLM at Scale.AI's main competitors?
Direct peers on record are CrewAI, Aisera, Moveworks, LangChain, Kore.ai and AutoGen (Microsoft Research). Broad incumbents are Salesforce Agentforce and Amazon Bedrock Agents. Emerging players are Relevance AI and Cognosys.
Does LLM at Scale.AI have an API?
No public API is recorded for LLM at Scale.AI.
What industry is LLM at Scale.AI in?
LLM at Scale.AI's product category is Enterprise Agentic AI Platform. Its primary akta.pro industry code is HDAAACAF, Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent), with a secondary code of HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG). Its NAICS code is 541512 and its SIC code is 7372.