Build AI-Engineered Applications with LangChain, LLM, and RAG
The future of software requires AI/LLM as a core architectural component. We help you design and build AI-capable applications—whether starting fresh or retrofitting existing systems with AI/LLM, RAG, and agentic capabilities.
The Challenge: Building Software That Actually Matters
You need software that doesn't just work—it needs to be intelligent, scalable, and built to last. But here's the reality:
Many businesses have existing applications that need AI
You have applications that work, but they need AI capabilities to stay competitive. Whether you're building new or enhancing existing systems, you need partners who understand AI/LLM, RAG, agentic development, and MCP servers in depth.
Retrofitting requires deep expertise
Adding AI to existing systems can create complexity and technical debt—unless done with proper architectural patterns and deep AI expertise. Strategic retrofitting with RAG, vector databases, and LLM orchestration can transform your applications when executed correctly.
You need partners who understand both
Building AI-engineered applications requires deep expertise in both AI/LLM technologies and enterprise-scale software architecture. Most teams excel at one, not both.
That's where we come in. As thought leaders in AI/LLM, RAG, agentic development, and MCP servers, we help you design AI-capable applications and build them—whether starting fresh or strategically retrofitting your existing systems.
What We Build
AI-Engineered Solutions for Your Business
Building on this foundation, we create AI-engineered applications that address real business challenges. Here's what we build:
AI-Engineered Applications
Build next-generation applications where AI/LLM integration is a necessary requirement, or retrofit existing applications with AI capabilities. From AI-powered transaction reconciliation processing 8-10M transactions daily with 100% accuracy to visual AI analysis systems that diagnose issues from photos, we design and build AI-capable applications with AI/LLM as a core architectural component.
- AI-powered content creation and generation (articles, reports, marketing copy, product descriptions)
- Intelligent data processing and normalization across thousands of data sources with 100% accuracy
- Natural language understanding for transaction categorization, document processing, and text analysis
Web Application Development
Build modern web applications that drive real business results. From multi-tenant SaaS platforms to e-commerce systems processing thousands of orders, we create web applications that scale with your business and deliver measurable outcomes. Our applications work seamlessly across desktop, tablet, and mobile devices.
- Multi-tenant SaaS platforms with subdomain-based branding and data isolation
- E-commerce platforms streamlining order-to-fulfillment workflows
- Complete ERP systems managing end-to-end business operations
Mobile Application Development
Build mobile applications that your customers actually use. From healthcare apps serving thousands of patients to device management platforms controlling 8,000+ devices, we create mobile apps that deliver real business value and exceptional user experiences.
- Mobile apps serving 20,000+ users with 4.6/5 app store ratings
- Healthcare apps improving patient engagement and outcomes
- Android TV apps managing 8,000+ devices across thousands of locations
Custom Software Development
Distributed systems and enterprise software solutions built from ground zero. Proven track record delivering $5-10M ARR platforms with fault-tolerant architecture and operational excellence. From franchise management platforms supporting 100+ franchisees to enterprise backup solutions acquired for $9.6M, we build systems that scale and succeed.
- Distributed systems architecture
- Event-driven software solutions
- Fault-tolerant design patterns
Distributed Systems
Design and build fault-tolerant distributed systems handling millions of daily events. Expert in event-driven architectures, microservices, message queues, containerization, and large-scale system design with proven >99.9% uptime. From reconciliation platforms processing 8-10M transactions daily to serverless voicemail campaign platforms processing thousands of campaigns with queue-based distributed processing, we build systems that scale.
- Event-driven architecture with message queues (Kafka, Kinesis, RabbitMQ, AWS SQS)
- Serverless distributed processing with AWS Lambda and queue-based architectures
- Microservices architecture with service mesh and API gateways
Cloud-Native Infrastructure
Container-based durable architectures designed for horizontal scalability, idempotent processing, and cloud-native resilience. From serverless voicemail platforms using AWS Lambda and SQS processing thousands of campaigns to multi-tenant SaaS platforms, we build cloud-native infrastructure that scales automatically and cost-effectively.
- Container-based architectures
- Serverless architectures (AWS Lambda, Google Cloud Functions)
- Queue-based distributed processing (AWS SQS)
Proof of Success
Real Results from Real Projects
These aren't just projects—they're platforms that transformed businesses. Here's how we've helped companies build AI-engineered applications that drive measurable results:
AI-Powered Scratcher Inventory Reconciliation Platform
AI-powered distributed reconciliation platform built with FastAPI (Python), PostgreSQL, and Kafka on AWS, processing 8-10M transactions/day with 100% accuracy. Features computer vision OCR, machine learning pattern recognition, event-driven architecture, and real-time anomaly detection.
View Case Study →
Distributed Content & Device Management Platform
Distributed content and device management platform built with native Android TV apps (Java/Kotlin), Laravel PHP backend, and Google Cloud infrastructure. Manages 8,000+ Android TV devices remotely with offline-first caching, FFmpeg transcoding, and programmatic ad integration achieving >99% delivery reliability.
View Case Study →
Ringless Voicemail Platform - Serverless Campaign Management System
Serverless voicemail marketing platform built with AWS Lambda, Node.js, AWS SQS, and AWS Transcribe on AWS infrastructure. Processes 2,000,000 voicemails per day with queue-based distributed processing, multi-provider integration, and real-time campaign management.
View Case Study →These results are built on a foundation of proven expertise and consistent delivery:
10+
Successful Exits
HealthSlate, Sling Media, Singshot, Rhapsody, and 6+ more
$5-10M
ARR Platforms Built
AI-Powered Platforms ($5M), Digital Signage ($10M), Voice Automation ($5M)
20+
Years Experience
Hands-on architect building AI-engineered systems at scale
>99.9%
Uptime Reliability
Millions of daily events with proven operational excellence
Why This Matters
What Sets Our Approach Apart
Our methodology combines proven software engineering practices with cutting-edge AI/LLM expertise. Here's what makes the difference:
Deep AI/LLM Expertise Across the Stack
We're thought leaders who understand AI/LLM, RAG, agentic development, and MCP servers in depth. Whether designing new AI-capable applications or strategically retrofitting existing systems, we ensure AI/LLM is integrated as a core architectural component using proper patterns—RAG, vector databases, and LLM orchestration—not bolted on haphazardly.
Hands-On Architect Leadership
Our technology leader actively codes and architects solutions. This isn't management by committee—it's hands-on expertise from someone who's built systems at scale for 20+ years and now focuses on AI-engineered applications.
Enterprise-Scale from the Start
We design for scale from day one. Distributed systems expertise ensures your AI applications can handle millions of daily events with >99.9% uptime. You won't outgrow the architecture.
AI-Augmented Development Workflows
We use AI to build AI. Our development workflows leverage LangChain, Cursor, MCP servers, and AI-augmented tools to accelerate delivery while maintaining the highest code quality standards.
Full-Stack AI Expertise
Complete expertise across the entire AI technology stack: vector databases, RAG implementation, LLM orchestration, and AI-first architecture. We understand how all the pieces fit together.
From Solution to Sustained Operations
We don't just build and hand off. Our approach covers everything from initial solution definition through sustained operations, ensuring your AI systems perform reliably long after launch.
How We Work
Our Methodology for Delivering Excellence
This approach is delivered through a proven process that ensures transparency, quality, and timely delivery at every stage:
1
Discovery & AI Architecture Planning
We understand your business needs and define AI/LLM requirements. We assess how AI should be integrated as a core architectural component, plan RAG implementation, vector database needs, and design for scalability.
2
AI-First Architecture Design
We design AI-engineered architectures with LangChain orchestration, RAG patterns, and vector database integration. Our designs emphasize AI/LLM as core components, with distributed systems enabling scale and fault tolerance.
3
AI-Augmented Development
We build using AI-augmented workflows (LangChain, OpenAI, MCP servers, Cursor) to accelerate delivery. We implement RAG, vector databases, and LLM integration while leveraging cloud-native practices and modern frameworks.
4
Testing & AI System Validation
We test AI functionality, RAG accuracy, LLM performance, and system reliability. Load testing, chaos engineering, and reliability testing ensure fault tolerance, performance at scale, and security compliance.
5
Deployment & Zero-Downtime Launch
We deploy using blue/green and canary strategies for zero-downtime launches. Automated rollback capabilities and comprehensive monitoring ensure smooth deployment of AI-engineered applications.
6
Operations & Continuous Improvement
We provide ongoing operations with observability, SLO monitoring, and incident response. Our operational excellence practices ensure continuous improvement and sustained >99.9% uptime for AI systems.
Technical Foundation
Built on Proven Technologies
This methodology is supported by a comprehensive technology stack that enables us to build AI-engineered applications at scale:
AI/LLM Engineering
LangChain
OpenAI
Anthropic
RAG
Vector Databases
MCP Servers
Cursor
LLM Integration
Languages
Python
Java
Node.js
JavaScript
Swift
Kotlin
PHP
PL/SQL
Frameworks
Spring
Hibernate
Express
React Native
React
Angular
J2EE
Flask
Databases
Vector DBs
Pinecone
Weaviate
PostgreSQL
MongoDB
Oracle
MySQL
Snowflake
Cloud & DevOps
AWS
Docker
Git
Jenkins
GitLab CI/CD
Infrastructure as Code
Data Engineering
Kafka
Kinesis
ETL/ELT Pipelines
Data Lakes
Real-time Streaming
FAQ
Frequently Asked Questions
Have questions about how we build AI-engineered applications? Here are answers to the most common questions:
Does Sofmen cover all stages of the SDLC?
Yes, Sofmen covers all stages of the Software Development Life Cycle (SDLC). From initial planning and requirement analysis to design, development, testing, deployment, and maintenance, we ensure a comprehensive and seamless process tailored to your specific needs.
What industries have you previously served for software product development?
Sofmen has extensive experience in serving a variety of industries for software product development, including healthcare, finance, education, retail, logistics, and technology. Our diverse expertise allows us to understand the unique challenges and requirements of each sector.
How long does it take to develop a project?
The time required to develop a project can vary significantly based on several factors, including the project's complexity, scope, technology stack, and specific requirements. Typically, a detailed project timeline is established during the initial consultation phase, allowing us to provide a more accurate estimate.
Do you develop software for Blockchain?
Yes, we develop software for blockchain technology. Our team has expertise in creating blockchain solutions tailored to meet specific business needs, including smart contracts, decentralized applications (dApps), and secure transactions.
Do you develop AI-based software?
Yes, we specialize in AI-engineered applications where AI/LLM integration is a necessary requirement and core architectural component. We leverage LangChain, RAG, vector databases, OpenAI, and Anthropic to build intelligent applications. Our AI-augmented development workflows using Cursor and MCP servers accelerate delivery while maintaining high code quality. We help customers design AI-capable applications and build them—whether starting fresh or retrofitting existing applications with AI capabilities using proper architectural patterns.
How does your software development company ensure the quality of deliverables?
At Sofmen, we ensure the quality of our deliverables through a robust quality assurance process that encompasses multiple stages. We implement best practices such as thorough requirement analysis, comprehensive testing methodologies, and continuous integration and deployment. Our dedicated QA team conducts rigorous testing, including functional, performance, and security testing.
Ready to Build Your AI-Engineered Application?
Let's discuss how we can help you design and build AI-capable applications—whether starting fresh or retrofitting existing systems with AI/LLM, RAG, and agentic capabilities. Start the conversation today.