Latent AI
Latent AI develops the LEIP edge AI platform for designing, optimizing, and deploying machine learning models on resource-constrained hardware. The company primarily serves U.S. defense agencies and prime contractors, with secondary enterprise deployments across sports analytics, industrial IoT, and geospatial applications.
- Company typePrivate
- Founded2018
- HeadquartersPrinceton, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Latent AI does
Latent AI is a Menlo Park-based private company, founded in 2018, that develops the Latent AI Efficient Inference Platform (LEIP) — an enterprise AI SDK for designing, optimizing, and deploying machine learning models on edge hardware. The platform is structured into three modules: LEIP Design (model development with 1,000+ pre-tested model-hardware Recipes), LEIP Optimize (compression, quantization, and hardware compilation via the Forge engine), and LEIP Deploy (a standardized Latent Runtime Engine portable across NVIDIA Jetson, Android Snapdragon, CUDA, ARM, and x86 Linux). The company extends LEIP with application-layer products including the Latent Field Tactical Suite for autonomous UAS operations, Latent Linguist for offline speech-to-speech translation, Latent Assisted Label for data annotation, and Latent Agent for plain-language edge AI development.
Latent AI primarily serves U.S. defense and government customers — including the U.S. Army (Project Linchpin), U.S. Navy (Project AMMO), U.S. Air Force (SBIR), and SOCOM — alongside defense prime contractors Lockheed Martin and Northrop Grumman. Named commercial deployments include Future of Sports (edge AI for bowling lane analytics across 250,000+ venues) and an India expansion via partnership with Inferigence Quotient. Procurement occurs through government contract vehicles (Carahsoft SEWP V, ITES-SW2, CDAO Tradewinds, GSA) and channel partners including Dell, HPE, Abaco Systems, and One Stop Systems.
The business model combines subscription-based platform licensing of the LEIP SDK with professional services packaged as Development Launchpad, Continuous Scaling Engine, Mission-Ready Deployment, and Premium Support, plus direct government/defense contract revenue. Pricing is quote-based, tied to deployment scale, hardware targets, and support tier, with multi-year contract cadences. Investor backing includes Future Ventures, Blackhorn Ventures, Lockheed Martin Ventures, Booz Allen Ventures, Voyager Technologies, AUM Ventures, SRI International, and others, with cumulative disclosed funding of approximately $19M plus undisclosed follow-on capital.
Latent AI firmographics
Firmographics- Name
- Latent AI
- Legal name
- Latent AI
- Website
- https://latentai.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Latent AI develops the LEIP edge AI platform for designing, optimizing, and deploying machine learning models on resource-constrained hardware. The company primarily serves U.S. defense agencies and prime contractors, with secondary enterprise deployments across sports analytics, industrial IoT, and geospatial applications.
- Ownership category
- akta.pro rank
Latent AI industry classification
Industry- Product category
- Edge AI / MLOps Platform
- NAICS
- Software Publishers (5132), Computer Systems Design Services (541512), Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Model Deployment, Serving & Inference Platforms (HDAAABAF)
- akta.pro secondary industries
- On-Device Inference Runtimes & SDKs (mobile/embedded) (HDAAAJAB), AI Compiler, Runtime & Kernel Optimization Software (CUDA/ROCm/XLA, graph compilers) (HDAAAAAI), LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD), AI/ML Engineering & Model Development Services (BPAEAHAF)
Keywords
Where Latent AI is headquartered
LocationHeadquarters
- HQ city
- Princeton
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Latent 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
- Platform Software Licensing: LEIP platform sold as enterprise AI SDK with modular components (Design, Optimize, Deploy modules). Platform licensing to enterprises, government agencies, and defense contractors for edge AI development and deployment.
- Professional Services: End-to-end ML implementation services including consulting, architecture, integration, optimization, deployment, and premium support. Services include Development Launchpad, Continuous Scaling Engine, and Mission-Ready Deployment offerings.
- Government/Defense Contracts: Revenue from U.S. military branches (Army Project Linchpin, Navy Project AMMO, Air Force SBIR) and defense contractors. Procurement via government contract vehicles.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Enterprise platform licensing with modular components |
| Other | Multi-year contract | Professional services and support packages |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels8 records
Latent AI product offering
Product offeringCore offering
Latent AI develops and sells the Latent AI Efficient Inference Platform (LEIP), an enterprise AI SDK that enables organizations to design, optimize, and deploy machine learning models directly on edge hardware. The platform is modular, with components for model development (LEIP Design), compression and compilation (LEIP Optimize via Forge), and runtime deployment (LEIP Deploy / Latent Runtime Engine). Adjacent products include the Latent Field Tactical Suite, Latent Linguist, Latent Assisted Label, and Latent Agent, targeting defense, government, and industrial customers.
Product overview
Latent AI offers a platform-plus-modules architecture anchored by the Latent AI Efficient Inference Platform (LEIP), an all-in-one enterprise AI SDK. LEIP is organized into three core modules: LEIP Design (model development with pre-benchmarked recipes), LEIP Optimize (model compression, quantization, and compilation via Forge), and LEIP Deploy (standardized Latent Runtime Engine for cross-hardware deployment and monitoring). The Edge AI Factory is the overarching service layer providing end-to-end deployment services. Latent AI's product portfolio also includes tactical field applications — Latent Field Tactical Suite (FTS) for drone operations, Latent Linguist for offline translation, Latent Assisted Label for data annotation, and Latent Agent for AI-driven development assistance. These products target both defense/government (with validated programs for US Army, Navy, and Air Force) and enterprise sectors (industrial IoT, sports analytics, retail, agriculture, smart cities, transportation, construction).
Differentiator
Problem solved
Functional benefit
Brands
- LEIP (Latent AI Efficient Inference Platform): All-in-one enterprise AI SDK that streamlines the development and management of machine learning models at the edge
- Latent Field Tactical Suite (FTS)
- Latent Agent
- Latent Assisted Label
- Latent Linguist
- Edge AI Factory
Products and services
- Latent AI Efficient Inference Platform (LEIP)
Quantifiable outcome
- 92% reduction in hardware cost (from 50+ GPUs/$224k to 4 GPUs/$18k)
- +8 more outcomes
Companies that use Latent AI
Customer profileNamed customers7 records
Segments2 records
Ideal customer profiles2 records
Latent AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability13 records
Feature9 records
Latent AI partnerships and signals
Strategic signalPartnerships
16 partnerships are on record, tiered core and strategic.
- Rajant Health Incorporated (RHI)coreStrategic partnership to deliver fleet-scale, mission-ready AI for DDIL environments. Combines Rajant's Kinetic Mesh networking, RHI's Cowbell distributed edge platform, and Latent AI's edge-native AI optimization. Enables real-time inference during disconnected operations and continuous AI model lifecycle management.
- Sigma DefensecoreDemonstrated hardware-agnostic edge AI for disconnected military operations at AFCEA West 2026. Combined solution integrates Latent AI's Field Tactical Suite with Sigma Defense's Olympus platform for real-time AI processing in denied environments.
- Abaco SystemscoreIntegration of Latent AI capabilities into Abaco's defense-ready hardware. Combined solution enables real-time AI processing for military operations. Partnership showcased at AFCEA West 2026.
- EDGE AI FOUNDATIONcoreLatent AI chairs Defense Working Group with EDGE AI FOUNDATION to advance mission-critical edge AI capabilities. Group develops technical frameworks and standards for supply chain security and operational resilience. Includes Qualcomm, Wind River, Dell, Syntiant, Expanso, Embedl.
- DittostrategicStrategic partnership to enable AI deployment from ground-based autonomous systems to orbital platforms. Part of Latent AI's expanded product suite and ecosystem.
- Wind RiverstrategicStrategic partnership for AI deployment across edge environments. Wind River provides edge computing software; Latent AI provides edge AI optimization.
- Voyager TechnologiesstrategicStrategic partnership to bring advanced AI to orbit. Latent AI technology integrated with Voyager's space-based platforms. Voyager also invested in Latent AI.
- Lockheed MartinstrategicSystem integrator partner for defense AI deployments. Listed as trusted by defense customer and system integrator partner.
- Future of Sports (FSP)strategicPartnership for real-time sports scoring using edge AI. Latent AI-powered models run on edge devices for fraud detection and scoring validation across bowling venues.
- Northrop GrummanstrategicSystem integrator partner for defense AI deployments.
- NVIDIAcoreHardware partner providing GPU platforms. Latent AI optimizations achieve 11.7x faster inference speed on NVIDIA Jetson Orin AGX. Active presence at NVIDIA GTC events.
- Dell TechnologiesstrategicTechnology partner for edge AI solutions. Joint content on 'Latent AI: Enhancing edge intelligence with Dell and NVIDIA AI'.
- Hewlett Packard EnterprisestrategicHardware partner for edge computing solutions.
- EsricoreLEIP integration with Esri's ArcGIS system for geospatial edge AI applications. Enables real-time decision-making in disaster management, urban planning, and agriculture. Users can validate data, retrain models, and redeploy directly on drones and sensors.
- One Stop Systems (OSS)coreHardware partnership since 2023 for rugged edge AI compute solutions. OSS provides MIL-STD-810G rated, ruggedized servers for vehicle-mounted and edge-deployed applications. Latent AI provides the software stack and AI applications that run on OSS hardware. Joint presence at SOF Week 2026 demonstrating autonomous UAS capabilities.
- Inferigence Quotient Pvt (InferQ)strategicPartnership to deliver real-time edge AI solutions for Indian defense forces. Supports Latent AI's expanding presence in India. Aims to advance India's role in next-generation defense and industrial AI.
Scale indicators9 records
Recent moves7 records
Expansion highlights8 records
Latent AI competitors and assessment
Company assessmentDirect peers
- Edge Impulse: Edge Impulse offers a developer-focused edge AI MLOps platform for building, optimizing, and deploying ML models on embedded devices. It directly competes with LEIP's model design, optimization, and deployment modules, targeting similar developer personas across industrial IoT and edge AI use cases.
- OctoAI (acquired by NVIDIA): OctoAI provided an enterprise AI inference and model serving platform optimized for cost and performance, including edge and cloud deployments. Overlaps with LEIP's inference optimization and cross-hardware deployment positioning, and OctoAI's acquisition by NVIDIA elevates competitive intensity around NVIDIA-native stacks.
Emerging players
- Roboflow: Roboflow provides computer vision dataset management, training, and deployment tooling with edge device support. Comparable to LEIP Design and Assisted Label for vision-centric workflows, though with a stronger consumer/developer community and less defense/government focus.
- Modular AI: Modular provides a developer platform and inference engine for deploying AI models efficiently across hardware targets, with emphasis on portability and performance. Comparable to LEIP's optimization and runtime engine goals, particularly for developers seeking hardware-agnostic inference.
Broad incumbents
- NVIDIA (Jetson, TensorRT, TAO): NVIDIA offers end-to-end edge AI tooling through Jetson hardware, TensorRT optimization, and TAO model training/fine-tuning. While a partner (LEIP is optimized for Jetson), NVIDIA's full-stack offering is the broadest competitive alternative in edge AI inference and could subsume third-party MLOps layers over time.
- Qualcomm AI Hub: Qualcomm provides AI optimization and deployment tools for Snapdragon edge devices, with a hardware-rooted optimization stack. Comparable to LEIP Optimize/Deploy for Qualcomm hardware targets, and a co-member of the EDGE AI FOUNDATION alongside Latent AI.
- Intel (OpenVINO): Intel's OpenVINO toolkit optimizes and deploys deep learning models across Intel CPUs, GPUs, and accelerators, with broad enterprise adoption. Comparable to LEIP's hardware-agnostic optimization thesis, with the advantage of native Intel hardware integration and established enterprise sales channels.
- Scale AI: Scale AI provides data labeling, evaluation, and model fine-tuning services that are increasingly bundled into AI development pipelines. Comparable to Latent Assisted Label for the data annotation layer and adjacent to LEIP Design for model curation, with strong defense/government engagement.
- Palantir Technologies: Palantir's AIP and Gotham platforms deliver AI/ML infrastructure for defense and government customers, including edge and tactical deployments. Comparable as a defense AI software incumbent that Latent AI must integrate alongside rather than replace, and that sets the bar for IL-class compliance and program-of-record credibility.
Others
- SRI International: SRI International is both an early investor in Latent AI (via SRI Ventures) and a research-driven organization with deep defense and AI expertise. Comparable as a technology lineage and ecosystem node rather than a direct competitor, and a relevant signal of the company's R&D heritage.
Market position
Strengths2 records
Weaknesses3 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Latent AI social profiles
Digital presenceLatent AI compliance and trust
Trust signalCompliance1 record
Latent AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Latent AI leadership team
Management profileNumber of profiles
Profiles17 records
Latent AI funding detail
Funding detailFunding overview
Funding rounds4 records
Investors15 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Latent 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 Latent AI
What does Latent AI do?
Latent AI develops and sells the Latent AI Efficient Inference Platform (LEIP), an enterprise AI SDK that enables organizations to design, optimize, and deploy machine learning models directly on edge hardware. The platform is modular, with components for model development (LEIP Design), compression and compilation (LEIP Optimize via Forge), and runtime deployment (LEIP Deploy / Latent Runtime Engine). Adjacent products include the Latent Field Tactical Suite, Latent Linguist, Latent Assisted Label, and Latent Agent, targeting defense, government, and industrial customers.
Is Latent AI a public or private company?
Latent AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Latent AI founded?
Latent AI was founded in 2018. It employs 11 to 50 people.
Where is Latent AI based?
Latent AI is headquartered in Princeton, United States, in the North America region.
How does Latent AI make money?
Three revenue lines are on record. Platform Software Licensing is the primary driver. The others are professional Services and government/Defense Contracts.
Who are Latent AI's main competitors?
Direct peers on record are Edge Impulse and OctoAI (acquired by NVIDIA). Emerging players are Roboflow and Modular AI. Broad incumbents are NVIDIA (Jetson, TensorRT, TAO), Qualcomm AI Hub, Intel (OpenVINO), Scale AI and Palantir Technologies. SRI International is listed as an others.
Does Latent AI have an API?
Yes. The LEIP platform provides a Python API allowing developers to interact with the entire ML pipeline. Users can design, optimize, and deploy machine learning models via Python. The platform also offers open APIs enabling integration with existing systems, including Latent Linguist API for speech-to-speech translation integration. Developer documentation is at docs.latentai.io/leip.
What industry is Latent AI in?
Latent AI's product category is Edge AI / MLOps Platform. Its primary akta.pro industry code is HDAAABAF, Model Deployment, Serving & Inference Platforms, with a secondary code of HDAAAJAB, On-Device Inference Runtimes & SDKs (mobile/embedded). Its NAICS code is 5132 and its SIC code is 7372.