SaaS, Software & AI Development for Technology Companies
GrayCyan helps SaaS companies, startups, and technology teams build new products, accelerate existing roadmaps, and add AI capabilities to software already in market.
From MVP development and full-stack SaaS engineering to AI features, integrations, modernization, and dedicated development capacity, we can own the build or work alongside your existing product and engineering team.
As featured in
PROBLEMS WE SOLVE
What SaaS & Technology Companies Come to Us to Fix
If any of these sound familiar, you’re in the right place.
"We Need to Build or Accelerate a Digital Product."
You have an MVP, SaaS platform, AI application, mobile app, or new software concept to build, but need the product and engineering expertise to get it into production.
Product Development
"Our engineering roadmap is moving faster than our team can support."
Features, integrations, technical debt, and customer requirements are piling up faster than your internal team can deliver. Add AI, full-stack, integration, QA, and DevOps capacity to keep the roadmap moving.
Engineering Capacity
"Our existing product needs to evolve."
You need to add AI, modernize architecture, improve performance, build new integrations, migrate infrastructure, or extend an established platform without disrupting the customers already using it.
Product Modernization
Nishkam Batta
Founder & CEO, GrayCyan LLC
Ex-Sales Engineer, $15Bn Engineering Company
AI Engineer (MIT Sloan) since 2018
ROOTED IN EXPERIENCE
From Engineering Problems to Production Software
Nish began his career as an engineer inside a $15Bn engineering company, where he learned that technology only creates value when it works within real systems, processes, users, and business constraints.
GrayCyan grew from software development into AI-enabled product engineering as the technology and needs of its clients evolved. Today, our work spans SaaS platforms, custom applications, AI products, integrations, automation, cloud infrastructure, and ongoing product development.
That background shapes how we approach technology companies today. We are not here simply to supply code. We help turn product requirements into software that can be launched, used, integrated, maintained, and continuously improved.
WE’RE AN AI & SOFTWARE DEVELOPMENT COMPANY FOR TECHNOLOGY BUSINESSES
Built for SaaS & Technology Companies
Technology companies operate differently from traditional businesses. Your software is the product, your roadmap never stops, customer expectations change quickly, and every architectural decision affects how fast you can build tomorrow.
B2B SaaS
Build and extend multi-tenant SaaS platforms, customer-facing applications, administration tools, integrations, analytics, and AI-enabled functionality.
MULTI-TENANT
RBAC
SAAS
AI-Native Products
Turn AI concepts into complete products with interfaces, business logic, data, agents, RAG, APIs, integrations, monitoring, and production infrastructure.
llm
rag
ai app
ai agents
Vertical SaaS
Build specialized software around the workflows, terminology, data, and integrations of a specific industry or business process.
workflows
portals
integrations
Enterprise Software
Develop internal platforms, complex B2B applications, administration systems, data products, and software designed for multiple user roles and business processes.
rbac
sso
enterprise
Marketplaces & Platforms
Build multi-sided platforms connecting customers, providers, vendors, partners, or other user groups with workflows, payments, data, and account management.
marketplace
payments
portals
Startups & New Ventures
Move from product concept to MVP and then continue engineering as customer feedback, product requirements, and the roadmap evolve.
mvp
product
apps
SAAS PRODUCT DEVELOPMENT
From MVP to Production-Ready SaaS
Launching software involves much more than building screens and connecting a database. The product needs an architecture that supports users, permissions, integrations, releases, data, security, performance, and continued development.
GrayCyan designs and builds SaaS platforms, AI products, web and mobile applications, customer portals, internal software, and new digital ventures. We can launch an MVP, take over an existing codebase, modernize a platform, or extend a mature product with new capabilities.
Our teams cover product architecture, UX, frontend, backend, APIs, databases, AI, cloud infrastructure, QA, deployment, and ongoing engineering.
MVP
Validate and launch faster
WEB & APPS
Products built around your users
SAAS
Architecture designed to grow
ENGINEERING CAPACITY
Add the Engineering Expertise Your Roadmap Needs
Not every engagement requires outsourcing an entire product. Sometimes you already have the product, architecture, leadership, and roadmap, but simply need more experienced engineers to move it forward.
GrayCyan can add AI, full-stack, backend, frontend, integration, QA, and cloud engineering capacity alongside your existing team. Resources can own a defined workstream, expand an existing product team, or stay engaged as ongoing development capacity.
EMBEDDED WITH YOUR TEAM
Engineering capacity without the hiring cycle
Add experienced technical resources when and where you need them, while your existing team keeps control of the product, priorities, architecture, and roadmap..
LLM applications, RAG, AI agents, knowledge systems, document intelligence, machine learning, and AI-enabled product features.
Frontend, backend, APIs, databases, SaaS platforms, portals, web applications, and mobile applications.
Third-party APIs, middleware, data pipelines, legacy applications, SaaS integrations, and complex system connectivity.
Testing, deployment, infrastructure, CI/CD, monitoring, and production support.
BUILT FOR SAAS & TECHNOLOGY
Software Products Have Different Constraints
When software is the product, architecture, release velocity, reliability, security, and maintainability directly affect your ability to acquire customers and respond to the market. We build with those realities in mind.
PRODUCT ARCHITECTURE
Built beyond the first release
A successful MVP eventually needs to support more users, more features, more integrations, more data, and a growing engineering team. Architecture decisions need to account for what happens after launch.
PRODUCTION RELIABILITY
Built for real customers
Compliance
Built to keep shipping
A product can become harder to change with every release. We balance short-term delivery with maintainability so new features do not continuously increase technical drag.
MVP to Scale
Architecture that can evolve
Start focused, validate the product, and continue developing as requirements and adoption grow.
AI-First
AI built into the product
Build software with AI as a native capability, not a bolt-on, from copilots and agents to RAG, intelligent search, recommendations, and workflow intelligence.
Production Ready
Beyond the prototype
Testing, deployment, monitoring, security, and maintainability are considered as part of the product, not as an afterthought.
Let’s
Talk
If You’re Building a Technology Product, Let’s Have a Conversation.
Whether you are launching an MVP, scaling an existing SaaS platform, adding AI, modernizing a product, or need additional engineering capacity, tell us what you are trying to move forward.
CLIENT RESULTS
What this looks like in practice
85%
Reduction in manual data entry
ERP middleware automation
MANUFACTURING
AI AUTOMATION
90%
FASTER REPORTING
Engineering Proposals Automated
SOFTWARE
PORTAL
AI DEV
INDUSTRY
100%
System Uptime
Post-migration stability restored
SAAS
AI Chatbot
FINANCIAL
Engineering Capacity
3X
higher perceived response quality
Emotion-aware AI governance layer
SAAS
AI DEV
SERVICES
HOW WE SOLVE IT
We Help SaaS & Technology Companies Move Faster
Whether you are launching a new product, adding AI to an existing platform, modernizing legacy architecture, or trying to move your roadmap faster, we bring the product and engineering capacity to get it into production.
01
MVP & New Product Launches
Turn a product concept into working software with product definition, UX, architecture, frontend, backend, APIs, infrastructure, QA, and deployment.
02
AI Features & AI-Native Products
Add AI agents, RAG, intelligent search, document intelligence, recommendations, conversational interfaces, and other AI capabilities to new or existing products.
03
Product Modernization
Modernize aging architectures, applications, interfaces, infrastructure, and codebases while preserving critical functionality and minimizing customer disruption.
04
Integrations & Ecosystem Expansion
Build APIs, webhooks, connectors, middleware, and third-party integrations that expand what your platform can do and how easily customers can adopt it.
05
Scalability & Platform Engineering
Improve performance, architecture, infrastructure, data handling, observability, deployment, and technical foundations as users and product complexity grow.
06
Roadmap Acceleration
Add development capacity to clear backlogs, deliver features, own product workstreams, reduce technical debt, and keep roadmap commitments moving.
FULL CAPABILITIES
Everything we can help you with
Beyond the product scenarios above, here is the full scope of what GrayCyan can deliver across product development, AI, software engineering, integrations, and ongoing development.
Manufacturing SaaS Development
WIP Update & Shift Summary Automation
ECR / ECO Change Log Management
Custom Manufacturing Software Development
Downtime Log Classification & Trend Detection
ERP ⇿ PLM ⇿ Catalog Sync & Inconsistency Flagging
ERP Data Extraction & Structuring
Production Bottleneck Detection
Legacy Application Modernization
RAG Knowledge Systems (SharePoint, Teams, PDFs)
Schedule Load & Capacity Suggestions
Technician Note Summarization
Custom AI Copilots for Engineering Teams
QC Note Extraction & Defect Classification
Maintenance Scheduling Suggestions
Vendor Quote Extraction & Comparison
Inspection Report Auto-Generation
Multi-System Agentic Workflow Orchestration
Auto-Generated RFQs, PRs & Follow-Ups
CAPA Summary & Audit-Ready Packet Preparation
Compliance Automation (ISO, NADCAP, USDA, Health Canada)
Landed Cost Sheet Automation
Web & Mobile App Development
AI Monitoring, Accuracy & Governance Dashboards
Supplier Scorecard & Performance Tracking
BOM Version Control & Update Suggestions
Ongoing AI Optimization & Support Retainers
PO → GRN → Invoice Reconciliation
Engineering Drawing & Datasheet Extraction
MVP Design & Development
SaaS Product Development
MVP Design & Development
Custom Software Development
Web Application Development
Mobile App Development
AI Application Development
AI Features for Existing Products
AI Assistants & Copilots
RAG & Knowledge Systems
AI Agents & Agentic Systems
Intelligent Search
Document Intelligence
Multi-Tenant Architecture
Role-Based Access Control
SSO & Authentication
Subscription & Account Management
Customer Portals
Administration Portals
Marketplace Development
API Development
Backend Development
Frontend Development
Third-Party Integrations
Webhooks & Middleware
Data Integration & Synchronization
Legacy Application Modernization
Cloud Migration & Modernization
Database Architecture
Performance Optimization
Technical Debt Reduction
QA & Automated Testing
CI/CD & DevOps
Cloud Infrastructure
Application Monitoring & Observability
AI Monitoring & Evaluation
Dedicated AI Engineers
Full-Stack Developers
Backend & Frontend Developers
Integration Engineers
QA Engineers
DevOps & Cloud Engineers
Dedicated Product Development Teams
Embedded Engineering Resources
Ongoing Product Development
Software Maintenance & Support
SaaS Myths v/s Reality
Myth
We need the full product defined before development begins.
Reality
Strong products evolve through use and feedback. A focused MVP can validate the core product while architecture and development continue around what customers actually need.
Myth
Adding AI means rebuilding our application around AI.
Reality
AI capabilities can often be introduced into an existing platform through new services, APIs, interfaces, data connections, and workflows without rebuilding the entire product.
Myth
Adding engineers automatically makes the roadmap move faster.
Reality
Capacity helps when engineers can operate inside clear architecture, priorities, ownership, and delivery processes. GrayCyan can own complete workstreams rather than simply adding people to a backlog.
Myth
Once the MVP works, the hard part is finished.
Reality
Production introduces different requirements, including reliability, security, monitoring, performance, permissions, integrations, deployments, maintainability, and support.
WHY GRAYCYAN
What actually sets us apart
Not another staffing firm. Not another prototype shop. These are five reasons SaaS and technology teams bring GrayCyan into product and engineering initiatives.
01
Product Thinking + Engineering Under One Roof
We understand the users, business problem, product requirements, and technical environment before deciding how something should be built.
02
AI + Full-Stack Engineering
Our AI work sits inside complete software products. We can build the frontend, backend, APIs, databases, integrations, infrastructure, and AI capabilities together.
03
Flexible Ways to Work With Us
Use GrayCyan for an end-to-end product build, a specific product workstream, a dedicated development team, or additional engineering capacity alongside your existing organization.
04
Production, Not Just Prototypes
We build beyond demos and proofs of concept, with the testing, deployment, security, monitoring, maintainability, and infrastructure required for production software.
05
Senior, Founder-Led Involvement
GrayCyan engagements stay close to senior technical and business leadership. Nish, engineer, MBA, and working in applied AI since 2018, remains involved from understanding the problem through solution direction and delivery.
how we work
SaaS & Product Delivery: How GrayCyan Works
Technology products move faster when users, product requirements, architecture, data, integrations, and technical constraints are understood before development begins. We work in focused increments so stakeholders can see, test, and shape what is being built throughout the engagement.
Typical timeline
Focused MVPs, features, integrations, and AI capabilities can begin delivering working software in weeks. Larger SaaS products are delivered against a phased roadmap based on scope and complexity.
01
Discovery & Solution Design
We define the product problem, users, requirements, workflows, data, integrations, and technical constraints. From there, we shape scope, architecture, priorities, and the development roadmap.
02
Prototype & Build
Our product, AI, and software teams turn requirements into working software. Development happens iteratively so stakeholders can review functionality early and continuously refine the product.
03
Integrate, Test & Deploy
We connect the product with the APIs, databases, cloud services, customer systems, and third-party applications it needs, then move through QA, security, user validation, and production deployment.
04
Scale & Continuously Improve
After launch, we can continue developing new features, improving performance, reducing technical debt, expanding integrations, optimizing AI capabilities, or providing ongoing engineering capacity as the roadmap evolves.
PRODUCT & PLATFORM INTEGRATION
Build Around the Technology You Already Have
One of the first questions we hear from established technology companies is:
“Can you work with our existing architecture and codebase?”
In most cases, yes.
Technology companies already have applications, databases, APIs, infrastructure, authentication systems, analytics, third-party services, and customer integrations in production.
Building something new should not automatically mean rebuilding what already works.
GrayCyan can add new product capabilities, AI features, applications, integrations, and services around your existing technology environment. We work with APIs, databases, cloud platforms, event systems, middleware, and existing codebases to extend what is already in market.
GrayCyan works with
AWS
Microsoft Azure
Google Cloud
OpenAI
Python
On-prem AI Models
React / Node
+ Others
For SaaS and technology companies, the challenge is rarely just getting the first version live. The product has to keep supporting more users, features, integrations, and customer requirements without the architecture becoming the bottleneck.
In one SaaS engagement, GrayCyan strengthened the underlying application and development foundation so the platform could support continued product growth and approximately 2X client growth.
2X
Client Growth Supported
Platform improvements created a more scalable foundation for continued customer growth, product development, and new functionality without rebuilding the application from scratch.
Keep What Already Works
Let’s
Talk
If You’re Building a Technology Product, Let’s Have a Conversation.
Whether you are launching an MVP, scaling an existing SaaS platform, introducing AI, modernizing a product, or need additional engineering capacity, tell us what you are trying to move forward.
Frequently Asked Questions
What is AI in manufacturing?
AI in manufacturing uses artificial intelligence to help manufacturers analyze information, automate work, improve access to knowledge, support operational decisions, and add intelligent capabilities to existing software and systems. Applications can include AI agents, computer vision, predictive models, document intelligence, engineering copilots, and AI features embedded into manufacturing applications.
Does GrayCyan build custom software and SaaS products for manufacturers?
Yes. GrayCyan builds manufacturing SaaS platforms, custom web and mobile applications, portals, dashboards, internal tools, APIs, AI-enabled products, and software designed around workflows that ERP and off-the-shelf applications do not handle well.
What is industrial AI and how is it different from general AI?
General AI works with broad language and information. Industrial AI is designed around manufacturing-specific data and workflows such as BOMs, engineering drawings, production records, inspection data, maintenance history, quality documentation, ERP data, and shop-floor operations.
Can GrayCyan build an MVP for a manufacturing or industrial technology product?
Yes. We can take an industrial product from discovery and MVP definition through UX, architecture, frontend and backend development, APIs, integrations, AI capabilities, testing, deployment, and continued product development as the product grows.
Can GrayCyan provide engineers to work with our existing team?
Yes. We provide AI engineers, full-stack developers, integration engineers, QA, DevOps, and dedicated development teams. GrayCyan can own a defined workstream, add specialized capacity alongside your existing team, or support an ongoing product roadmap.
Can GrayCyan work with our existing ERP, MES, PLM, QMS, or WMS?
Yes. We build around existing manufacturing systems using APIs, middleware, databases, and other available interfaces. New software, AI capabilities, portals, integrations, and automation can often be added without replacing the systems already running your operation.
Can GrayCyan build software for regulated manufacturing environments?
Yes. We design applications around the quality, traceability, permissions, records, auditability, and workflow requirements relevant to the manufacturer’s environment. Depending on the industry, that may include AS9100, NADCAP, ITAR, USDA, HACCP, FDA and 21 CFR Part 11, ISO 13485, API Q1/Q2, IATF 16949, and other applicable standards or regulations.
Can GrayCyan take a manufacturing technology project from idea to production?
Yes. We can support discovery, product definition, architecture, UX, AI and software development, integrations, QA, deployment, and ongoing development. We can own the complete engagement or join at a specific stage where additional engineering expertise or capacity is needed.
Does GrayCyan build complete SaaS products?
Yes. We can support product definition, architecture, UX, frontend and backend development, databases, APIs, cloud infrastructure, integrations, AI capabilities, QA, deployment, and continued development from MVP through production and scale.
Can GrayCyan build an MVP for a startup?
Yes. We can help define the initial product scope, design the user experience, establish the architecture, develop the application, integrate required services, test the product, and deploy the MVP so it can be validated with real users.
Can you add AI to an existing SaaS product?
Yes. We can add AI assistants, copilots, RAG, enterprise search, AI agents, document intelligence, recommendations, summarization, conversational interfaces, and other AI capabilities to established applications.
Can GrayCyan work with our existing codebase?
Yes. We can join an established product, understand the architecture and codebase, and work on new features, integrations, modernization, technical debt, AI capabilities, or defined product workstreams.
Can GrayCyan provide engineers to work with our existing team?
Yes. We provide AI engineers, full-stack developers, backend and frontend developers, integration engineers, QA, DevOps, and dedicated product development teams.
Do you build mobile applications?
Yes. We can build mobile applications as standalone products or as part of a broader SaaS platform, customer experience, field application, or connected product ecosystem.
Can you help modernize an older SaaS platform?
Yes. Modernization can include architecture changes, frontend or backend redevelopment, infrastructure migration, API development, database improvements, integrations, performance optimization, security improvements, and gradual replacement of legacy components.
Can GrayCyan take a technology product from idea to production?
Yes. We can own the complete product development lifecycle or join at a specific stage where additional product, AI, software, integration, QA, or cloud engineering expertise is needed.
How does GrayCyan structure a SaaS development engagement?
Engagements can be structured as an end-to-end project, dedicated product team, defined engineering workstream, or embedded engineering capacity depending on the product, roadmap, and existing team.
Do you provide ongoing support after launch?
Yes. GrayCyan can continue with feature development, product roadmap execution, AI optimization, integrations, maintenance, performance improvements, cloud and DevOps support, and ongoing engineering capacity.
Let’s
Talk