40+ AI and ML systems shipped across global markets
New York businesses operate in one of the world’s most competitive technology markets, where speed, scale, and product differentiation matter. MarsDevs helps growth companies and enterprises turn AI opportunities into production-ready software through senior engineering and end-to-end product development.
Free 30 minute strategy call. No sales pitch.
40+
AI and ML systems shipped
12+
RAG and retrieval systems built
8–16 weeks
Typical path to production
Production AI Engineering
MarsDevs develops production AI systems including LLM applications, RAG platforms, multimodal solutions, intelligent workflows, and autonomous agents for established businesses, mid-market companies, and enterprises Our engineering teams combine AI expertise with product development to help New York businesses turn practical AI opportunities into usable software and integrated business solutions.
40+
AI and ML systems shipped
12+
RAG and retrieval systems
15+
LLM integrations delivered
95%
Client retention rate
MarsDevs brings AI engineering, software development, data infrastructure, and product thinking together for businesses that need AI to work within real applications. As an AI development company in NYC, we help organizations move from identifying an AI opportunity to implementing a functioning solution within their existing technology and business environment. with the engineering foundations required for continued growth.
AI development involves far more than selecting a model and connecting an API. Reliable products need strong data pipelines, effective retrieval, evaluation frameworks, application logic, scalable infrastructure, and interfaces designed around actual users. Our engineers account for these layers from the beginning.
Our senior teams work directly across architecture, AI engineering, application development, testing, and deployment. Whether you need AI capabilities added to an existing platform, business process, or internal system, or require a new AI solution designed for a specific business need, we focus on creating software that can operate beyond the proof-of-concept stage.
What We Build
New York businesses and enterprises need AI that fits into existing applications, technology environments, and business operations. MarsDevs combines AI engineering with application development, infrastructure, and product expertise to help companies build useful systems that are ready for real-world deployment.
We develop LLM-powered applications around your specific product requirements, integrating models, prompts, context, APIs, evaluation processes, and supporting infrastructure. Instead of delivering a generic AI wrapper, we create functionality that fits naturally into your existing software and user experience.
Our RAG solutions connect AI applications with proprietary business information through retrieval, embeddings, vector search, and contextual generation. This allows users to interact with company-specific knowledge while giving your application a structured way to work with changing internal data.
We build AI systems capable of working across text, images, audio, PDFs, and structured information. These capabilities can support document understanding, visual analysis, voice experiences, and other applications where a single data format cannot provide the complete picture.
MarsDevs develops agents that can reason through tasks, interact with tools, retrieve information, and perform defined actions. From employee copilots to customer-facing assistants, we design agent workflows around practical business requirements rather than simple conversational interfaces.
Our AI automation development in NYC helps businesses transform repetitive processes into intelligent workflows. We can apply AI to document handling, information extraction, internal operations, customer processes, reporting, and other activities where contextual processing can reduce manual work.
From technical architecture and application development through infrastructure, QA, deployment, and scaling, we can manage the complete AI product lifecycle. A single cross-functional team keeps the engineering process connected and reduces the complexity of coordinating multiple technology vendors.
Our Technology Stack
Ollama
OpenAI
Claude
Hugging Face
Chroma DB
Airflow
Docker
Kubernetes
Milvus
FastAPI
Gemini
LLaMA
LangGraph
Haystack
Semantic Kernel
Qdrant
Sentence Transformers
Apache Tika
CrewAI
Prefect
BentoML
Mistral
Weaviate
LlamaIndex
LanceDB
BGE
LangFuse
Arize Phoenix
DSPy
Dagster
Pinecone
TruLens
Unstructured
LangChain
Ragas
Instructor
LlamaParse
PyMuPDF
AutoGen
Ray Serve
vLLM
Ollama
OpenAI
Claude
Hugging Face
Chroma DB
Airflow
Docker
Kubernetes
Milvus
FastAPI
Gemini
LLaMA
LangGraph
Haystack
Semantic Kernel
Qdrant
Sentence Transformers
Apache Tika
CrewAI
Prefect
BentoML
Mistral
Weaviate
LlamaIndex
LanceDB
BGE
LangFuse
Arize Phoenix
DSPy
Dagster
Pinecone
TruLens
Unstructured
LangChain
Ragas
Instructor
LlamaParse
PyMuPDF
AutoGen
Ray Serve
vLLM
Client Outcomes
8 case studies
← Click to exploreFrom manual ECG reviews to AI-powered diagnostics at scale.
Overview
A US-based healthcare SaaS company was struggling to scale its diagnostic review process as patient volumes grew across 40+ hospital networks. Cardiologists were the bottleneck — each ECG review took over 3 hours manually, creating dangerous delays in time-sensitive diagnoses. MarsDevs built a multi-modal AI platform that processes ECG images, extracts clinical patterns, and delivers ranked diagnostic alerts in under 60 seconds. The system integrated seamlessly into existing EHR infrastructure with no workflow changes required from clinical staff. Within six months of deployment, the platform had reduced review times by 74% and was processing thousands of ECGs daily across the network.
Challenges
Solutions
Outcomes
New York product teams need AI that fits into real products, existing technology, and business operations. MarsDevs combines AI engineering with application development, infrastructure, and product expertise to help companies build useful systems that are ready for real-world deployment.
AI and Multi-Modal Development
Technical foundations for useful AI systems that are observable, grounded, integrated, and ready for real-world deployment.
We engineer retrieval systems that allow AI applications to work with proprietary company information, structured data, and internal documentation. By combining retrieval strategies with contextual generation, businesses can create knowledge experiences grounded in information relevant to their users and operations.
Production AI requires infrastructure that can support deployment, monitoring, evaluation, scaling, and ongoing optimization. We build the operational foundations around AI systems so teams can monitor performance, manage resources, identify issues, and continue improving the application after launch.
We design data pipelines that collect, transform, structure, and deliver information to AI applications. A dependable data layer helps models work with cleaner inputs and gives your product the foundation required to support increasing data volumes, integrations, and application complexity.
Combine language, vision, audio, and document processing within unified product experiences. Our multimodal engineering can help businesses create applications that interpret different forms of information and use them together within a single workflow.
We integrate language models into repeatable business processes to handle tasks such as document processing, classification, extraction, summarization, and information routing. These workflows can help teams reduce manual intervention while keeping AI functionality connected to defined operational rules.
Our AI agents can plan tasks, access approved tools, retrieve information, and execute multi-step workflows based on defined objectives. We build agent architectures with application logic, observability, and appropriate controls so autonomous capabilities remain aligned with the product and business context.
MarsDevs has delivered AI and software products for startups, growth businesses, and enterprises across multiple industries and markets. Its portfolio includes production AI systems, RAG applications, LLM integrations, and broader software products built around demanding business and technical requirements.
Since 2019, MarsDevs has worked with companies that needed an engineering team capable of taking ownership beyond individual development tasks. Our delivery model combines senior technical expertise with product thinking, helping teams progress from early concepts through production software.
5.4 Billion
Transactions handled annually
40+
AI and ML systems shipped
12+
RAG and retrieval systems built
15+
LLM integrations delivered
95%
Client retention rate
7+
Years building AI/ML products
5+
Countries with active deployments
80+
Products shipped
98%
Client success rate
New York businesses need engineering teams that can implement AI while working within existing technology environments, operational requirements, and business priorities MarsDevs brings senior engineers into the product journey, combining AI development, software engineering, infrastructure, and delivery expertise within one team.
Why MarsDevs
An artificial intelligence development company in NYC needs to understand more than models and APIs. Successful AI products depend on the relationship between technology, data, users, and business processes. MarsDevs works across these layers to help New York business and technology leaders turn AI opportunities into deployable solutions that support their operations, customers, and existing technology environments. Since 2019, MarsDevs has built AI and software products for organizations ranging from startups to established businesses. Our teams combine engineering depth with product awareness to help companies develop, launch, and evolve technology products around their changing needs.
2019
Year established
60+
Projects completed
80+
Satisfied customers
75,000+
Engineering hours
Our engineers look beyond individual technical tasks to understand what the business needs to accomplish and how AI can support those objectives. Development decisions stay connected to user requirements, business objectives, technology roadmap, and operational priorities.
We work alongside business and technology teams throughout the implementation rather than waiting for isolated specifications. Architecture discussions, development, reviews, testing, and technical decisions remain connected throughout the engagement.
The target is functional software that can operate in a real environment. Our engineering approach considers testing, infrastructure, monitoring, integrations, performance, and other requirements before the product reaches production.
AI applications can become more complex as usage, data, and functionality increase. We establish technical foundations that give products room to expand without making every future feature dependent on a complete architectural rebuild
Industries We Serve
Frequently Asked Questions
Our Blogs
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