data-readiness audits uncover blockers before you waste budget
time-to-market with lean, validated MVP delivery cycles
platform-agnostic ML pipelines built on your stack
engineering speed gains with AI-native workflows and automation
Our AI/ML development services are all about building something your team can use, your data can power, and your business can grow with. Our team works with companies that have a clear need — automation, prediction, optimization — but no internal team to build and scale AI responsibly. Our role is to bring your use case to life, one system at a time.
Custom ML model development
We don’t force pre-trained models where they don’t belong. We build from your data (language, customer behavior, images, or time-series). Every model is designed to solve something real, not just look good in a benchmark
Data readiness assessment and engineering
Start with the basics: is your data ready for ML? In just a few days, we’ll show what’s usable, what’s missing, and what needs fixing. Then we build pipelines that keep it clean, enriched, and always learning from the business as it evolves.
ML infrastructure and MLOps setup
Getting a model to work once is simple. Keeping it healthy over time — that’s the hard part. We help set up the tools and workflows to train, deploy, monitor, and improve models at scale, all tailored to your tech stack.
AI-powered product delivery
AI should feel like a product, not a black box. We build full tools and applications around your models. They’re usable, intuitive, and built for real users. That means great UX, solid backend logic, and seamless integration.
Cross-cloud and on-premise deployments
Your architecture is a starting point. We deploy AI systems across AWS, Azure, GCP, hybrid environments, and on-prem setups with equal ease. We don’t push platforms or upsell tools. Instead, we focus on stable, secure, and maintainable deployment that fits how your organization runs.
Use case validation and MVP delivery
Got an idea but not sure it’s worth building? We’ll help you test it quickly. In short, focused sprints, we validate the concept using your data and constraints, so you know what’s possible before you invest.
Skip the pitch decks and prototypes that go nowhere. Let’s map out a real, usable path forward, based on your data, your systems, and your capacity
If you’re looking beyond AI features, so are we. Our team focuses on delivering full-stack AI solutions, from data pipelines to deployment, built around how your business really works.
Deployed chat and voice assistants that automate structured communication workflows, with 85%+ task completion across real user sessions.
Delivered and maintained voice recognition systems, capable of handling 2,000+ recordings/month, with a data pipeline built for compliance and scale.
Multilingual, ML-driven recommender stacks that process over 500,000 content signals monthly, integrated into client-facing APIs.
Clustering models that serve live segments for 5+ million records, supporting adaptive targeting across multiple product lines.
Deployed real-time models into production environments with <1 sec latency and custom thresholds tuned to reduce false alerts by over 60%.
AI automations that cut internal review cycles by 30–50%, embedded into operational workflows across delivery and support.
Forecasting engines that support decision-making across operations and finance. They can process millions of historical and real-time data points to deliver reliable next-step insights at scale.
Delivered AI pipelines that parse, extract, and classify data from thousands of scanned documents monthly, with accuracy tuned to domain-specific formats and full audit traceability.
Vector-based search systems capable of understanding user intent across multilingual datasets
Domain-specific NLP stacks for entity extraction, classification, and summarization, capable of processing over 1M+ text records/month in production across multiple languages.
Internal tools for version control, model performance tracking, and automated retraining that enable our clients to monitor live models and react before degradation hits production.
Reduce manual effort by
by using AI to handle classification, routing, and data extraction tasks at scale
Automate tasks by over
by implementing chatbots, IPA tools, and model-powered workflows that run independently
Cut internal review time by
by deploying AI-powered triage, approvals, and classification tools
Decrease error rates in routine ops by
through AI-based validation, anomaly detection, and rule-based corrections
Book a free 30-minute call to assess your AI use case, data readiness, and next steps, no pitch, just clarity
We don’t just recommend AI. Instead, we use it internally. Tools like Cursor AI are built into our delivery workflows to accelerate prototyping, improve code quality, and reduce handoff delays. This internal velocity translates directly into faster outcomes for our clients — often by 20–40%.
Our AI systems aren’t handed off to separate product or ops teams. They’re built by engineers who own both model performance and system usability. That’s why 70%+ of our AI deliveries include API integration, UI/UX handoff, and long-term observability from the same squad.
Our structured data and infrastructure audits are wrapped in a 10–14 day delivery cycle, followed immediately by build. This is made possible by repeatable internal frameworks for data validation, MLOps, and cloud deployment, not by cutting corners.
We’ve deployed models into hybrid on-prem/cloud environments with air-gapped constraints, across banking and healthcare, using custom retraining pipelines, event-based triggers, and zero external dependencies. No reliance on closed APIs. No black box risk. Full control stays with your team.
AI Pricing Agent: A 25% Rise in Property Sales
A sophisticated market analysis tool for real estate professionals constantly monitoring and analyzing real-time market feeds, including property listings, sales data, competitor pricing, and evolving market trends.
AI Energy Optimization: 20% Cost & Energy Savings
AI agent that monitors energy usage, analyzes patterns, identifies inefficiencies, and provides actionable recommendations for energy consumption optimization to reduce waste and carbon emissions.
AI agent that monitors energy usage, analyzes patterns, identifies inefficiencies, and provides actionable recommendations for energy consumption optimization to reduce waste and carbon emissions.
AI agent that monitors energy usage, analyzes patterns, identifies inefficiencies, and provides actionable recommendations for energy consumption optimization to reduce waste and carbon emissions.
A sophisticated market analysis tool for real estate professionals constantly monitoring and analyzing real-time market feeds, including property listings, sales data, competitor pricing, and evolving market trends.
A sophisticated market analysis tool for real estate professionals constantly monitoring and analyzing real-time market feeds, including property listings, sales data, competitor pricing, and evolving market trends.
From healthcare to finance, we design AI systems that respect the weight of your data.
Security, privacy, and compliance are the baseline for our team.
When working with our AI/ML development company, you can be sure your project is not treated like a research experiment. We approach it like an engineering challenge; one that needs to align with your goals, integrate with your systems, and get into production without months of back-and-forth.
We ask the hard questions early:
This phase sets the foundation. Not with endless documentation, but with fast, focused insight into where AI can deliver value (and where it won’t).
— Helping to identify where automation can reduce delivery delays
— Analyse scenarios for using AI for forecasting, inventory balancing, and route optimisation
— We check the readiness of systems for fleet analytics or real-time document processing
— Identify opportunities to implement AI in diagnostics and scheduling
— Create a roadmap with data privacy requirements in mind
— Identify priority areas: patient experience or research
— We analyse how AI can complement educational programmes and learning stages
— We offer solutions for personalisation, automatic assessment, and chatbots
— We help to find a balance between efficiency and ease of implementation
— We help formulate scenarios for using AI for fraud detection, credit scoring, and customer support
— Assess data quality and suggest ways to avoid risks
— Develop approaches to automate reporting and forecasting
— We analyse where AI can increase profitability: pricing, demand forecasting, tenant selection
— We check the quality of internal data
— Helping to create a step-by-step implementation plan
We’ll help you scope it, stress-test it, and bring it into production, taking into account your true goals.
Do you have an idea or a task but don’t know where to start? We will help you understand how to apply AI in your industry from the first step to a ready-made roadmap.
Consultation that turns an idea into a roadmap
Initial analysis of tasks and processes
Recommended AI application scenarios
Tools that are suitable for your case
Step-by-step plan to start implementation
Note: all recommendations are made individually and free of charge.
"INOXOFT has consultants of all flavors so finishing the product was a smooth process."
CTO, InsideOut AS
"Their most impressive quality is the number of hours they put into a project."
CEO, Maxfin Partners Limited
"They deliver what they promise, and I can’t say that about other companies I’ve worked with."
CTO of Bos-Dimex (NASDAQ:BOSC).
"I was really comfortable working with them."
Senior Manager, Bambuk Design Studio
"Their responsiveness and helpfulness make them impressive, and they were really amazing to work with."
Founder, Chirpi
WE STILL BUILD CUSTOM SOFTWARE. JUST 30% FASTER NOW
No. Most of our clients come to us with incomplete, siloed, or noisy data. One of the first things we do is audit your data. In under 4 days, we identify what’s usable, what’s missing, and what needs to be engineered. We’ll work with what you have and build the pipelines you’ll need.
Look for a partner with proven experience in both AI and software engineering. Inoxoft is a strong choice here. Working in six core industries, we have expertise and tested strategies, clear communication practices, and a record of successful AI solutions. Learn more about our projects or contact our expert for details.
Do you have an idea or a task but don’t know where to start? We will help you understand how to apply AI in your industry from the first step to a ready-made roadmap.
Consultation that turns an idea into a roadmap
Initial analysis of tasks and processes
Recommended AI application scenarios
Tools that are suitable for your case
Step-by-step plan to start implementation
Note: all recommendations are made individually and free of charge.
