AI, GenAI & Machine Learning
Custom AI/ML Development Services Built to Solve Real Business Problems
Off-the-shelf AI tools promise a lot and deliver generic results. We take a consulting-first approach — understanding your data, your workflows and your actual bottleneck before we recommend a model, an agent or a single line of code.
- Building since 2005Two decades of delivery
- Irving, TX & AhmedabadUS-hours delivery leadership
- ISO & IEC certifiedDocumented quality standards
Global Enterprises Trust SilverXis Technology for Strategic Partnerships
The Problem First
AI and ML Development That Solves Real Business Problems, Not Just Demos Well
A lot of AI projects impress in a demo and die in production. We scope the actual bottleneck first — the process that is too slow, the data that is too scattered, the decision that is too manual — then build what fixes it and holds up under real usage.
Generative AI & LLMs
Custom LLM development and fine-tuning, built around your data and your use case rather than a general-purpose prompt.
AI Agents & Automation
Agents that take action inside your systems — not chatbots that just answer questions.
RAG & Enterprise Search
Your documents, your policies, your knowledge base — searchable and reasoned over accurately.
MLOps & LLMOps
Models and pipelines that stay reliable, monitored and cost-controlled after launch, not just at demo day.
Not sure which of these fits your problem? Talk to an engineer
What We Build
Have a Process AI or RPA Could Handle, But Nobody Has Built It Yet?
We design and develop custom AI and ML systems around your data, your workflows and your goals — from a single automation to a full agentic system running across your business. We carry a project from first conversation through architecture, build, evaluation and ongoing support.
- 01
Custom LLM Development & Fine-Tuning
Models tuned on your domain and your data, so outputs match how your business actually talks and decides.
- 02
RAG Applications
Retrieval-augmented systems that ground answers in your real documents and data — accurate, current and traceable back to source.
- 03
AI Agents
Autonomous and semi-autonomous agents that execute multi-step work — pulling data, taking actions, escalating only when a human decision is genuinely needed.
- 04
MCP-Based Integrations
Model Context Protocol integrations that connect your AI systems cleanly to the tools and data you already run, instead of duct-taping APIs together.
- 05
RPA Development Services
Robotic process automation for the repetitive, rules-based work still eating your team's time — invoice processing, data entry and reconciliation, built to run unattended and scale with volume.
- 06
MLOps & LLMOps
Deployment pipelines, monitoring, evaluation and cost management, so models keep performing after the first release — not just on the first day.
- 07
Voice & Multimodal AI
Systems that work across speech, text, image and video — built for the input your users actually have, not just clean text.
- 08
AI Model Development & Fine-Tuning
Custom models built and tuned for your specific problem, where a general-purpose API is not accurate or economical enough.
- 09
Machine Learning, NLP & Computer Vision
Predictive models, text understanding and image or video analysis, built for the accuracy your use case actually requires.
- 10
Enterprise AI
AI initiatives that account for security, compliance, integration and change management — not just the model.
- 11
AI Chatbots
Conversational systems trained on your product, your policies and your tone, connected to your real backend so they can actually resolve things.
AI Workflow Automation
The repetitive work between your existing tools, handled on a schedule instead of by a person.
- n8n workflows and API integrations connecting your existing tools without a rebuild
- Digital marketing and lead automation, from capture through qualification
- WordPress content and website tasks handled on a schedule, not a to-do list
- AI-powered business workflows across operations, finance and support
- Custom internal tools built fast with Replit
- Data, reporting and repetitive processes taken off your team's plate
- Private AI solutions for teams that cannot send data to a third-party API
How We Work
Consulting First, Code Second
Five stages, with something you can review at the end of each one. No black box until launch day.
- 01
Scope
We start with the business problem — what is manual, what is slow, and what fixing it is actually worth.
- 02
Architect
Data sources, model choice, integration points and security. You see the plan and the trade-offs before development starts.
- 03
Build
Development in sprints, with working software to review at the end of each one.
- 04
Launch
Testing, evaluation, deployment and handover — staged so the business keeps running while the switch happens.
- 05
Support
Monitoring, retraining, fixes and the next round of improvements once real usage starts.
Ready to see where your project would start? Map my AI solution
Our Stack
What We Actually Work In
We pick the approach to fit the problem and the data you have — not because a model is fashionable this quarter.
- 01
Generative AI
06- Custom LLMs
- Fine-tuning
- RAG
- AI agents
- MCP
- Multimodal
PowersAI + APIs
- 02
Automation
05- RPA
- n8n
- API integrations
- Replit
- WordPress
PowersAutomation + APIs
- 03
ML & Data
06- TensorFlow
- NLP
- Computer vision
- Snowflake
- Databricks
- Apache Spark
PowersData + AI
- 04
Ops & Evaluation
05- MLOps
- LLMOps
- Monitoring
- Evaluation
- Cost control
PowersCloud + Automation
Engagement Models
Bring Us In the Way That Fits Your Team
A defined AI or RPA project, a dedicated team, or engineers added to the team you already have.
Model 01
Fixed-Scope Project
A defined build with agreed scope, timeline and cost, signed off before development starts.
- Clear deliverables and milestones
- Budget agreed up front
- Best for a proof of concept or a defined automation
Model 02
Dedicated Team
Developers, ML engineers and a technical lead working only on your AI roadmap.
- Developers, ML engineers and a technical lead
- Your process, your tools, your sprint cadence
- Scale up or down as priorities change
Model 03
Staff Augmentation
Technically vetted AI engineers added to your existing team, onboarded into your codebase and data.
- Technically vetted before they reach you
- Onboard into your codebase and data
- Onshore, nearshore or offshore
Our Work
Proof It Holds Up in Production
From an entitlement system that turned rented hardware into an enforceable subscription, to AI-powered automation running quietly behind the scenes, our clients keep these systems running long after launch day.
- 01
Turned a Rental Hardware Business Into an Enforceable Subscription Platform
SilverXis connected a water purification device to a cloud entitlement system, so payment and service finally matched — without a technician in the loop.
View Case Study - 02
AI-Powered Automation Running Quietly Behind the Scenes
The workflows our clients stopped thinking about — still running, still accurate, long after the engagement ended.
View Case Study
Still Running Processes That AI or RPA Could Already Be Handling?
Tell us where the work is manual or the model is not accurate enough. We will map the approach, the timeline and who would work on it.
No commitment required · Response within 24 hours · Free discovery call