Embed Intelligence Into Your Business With AI/ML Solutions Development
Embed advanced AI, Machine Learning, and AI Agents into your operations to drive intelligent decisions, automate workflows, and accelerate innovation—at scale.
Our Esteemed Clientele
Our Services
Whether you’re just exploring AI or scaling intelligent systems across your enterprise, we offer a suite of services designed to meet you where you are. From discovery to deployment, our AI solutions are built to solve real business challenges—with the right mix of strategy, technology, and execution. No matter your industry or use case, we help you use AI that works in the real world.
Our AI Discovery Workshop is the first step in transforming your operations. We work with your team to identify high-impact use cases, assess data readiness, and define a practical AI implementation roadmap. Expect clarity on ROI, feasibility, and deployment strategies—custom-fit to your business.
We build AI-powered agents that execute entire workflows autonomously—from decision-making to action. Think beyond RPA: our Agentic Automation Framework integrates AI, ML, and APIs to create self-operating systems that learn, adapt, and optimize. Ideal for operations, support, and back-office tasks.
AI-Powered Product Development
Whether it's a recommender system, fraud detection engine, or real-time prediction model—we help you build AI-first digital products. We specialize in generative AI, predictive modeling, and real-time analytics, with scalable deployment using cloud-native architecture.
From reading invoices to analyzing images and interpreting unstructured text—we combine OCR, NLP, and Computer Vision into unified AI solutions. This helps businesses digitize, automate, and gain insights from scanned documents, PDFs, forms, or visual media—all in one intelligent pipeline.
We design smart, engaging chat and voice bots powered by LLMs and RAG. Our Conversational AI solutions include:
- AI Chatbots (Web & Mobile)
- Voice Agents (IVR, Alexa, Google Assistant)
- Multilingual Support & Sentiment Analysis
- Custom Knowledge Integration with RAG
Use them for customer support, lead qualification, HR automation, and more.
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Business Intelligence with AI
Take your BI stack to the next level. We infuse AI into BI using tools like Power BI + Azure AI + custom ML models to enable:
- Forecasting & What-if Analysis
- Anomaly Detection
- Natural Language Q&A Interfaces
- Real-time Alerts & Recommendations
We help you prep, pipe, and fine-tune data for modern AI use cases. Our LLM & data engineering services include:
- LLMOps & Vector DB Integration
- RAG-based Knowledge Systems
- Data Lakehouse & ETL Pipelines (Databricks, Azure Synapse)
- Structured + Unstructured Data Handling
- Private & Domain-Specific LLM Deployment
An Intelligent Way to Find the Right Bulb
⸻ Case study – Light Finder
When Philips customers struggled to identify the right replacement bulbs, we stepped in with an AI augmented solution which used object detection and vision API and simplified the entire process. We built a tool that recognizes bulb type and specs in seconds—helping users find the perfect match with ease.
From agentic automation to multimodal intelligence, our team builds future-ready solutions tailored to your business.
We design and deploy deep learning systems for pattern recognition, language generation, and real-time decision-making. These models go beyond prediction—they create. From text to vision, our generative AI systems fuel innovation across domains.
Our AI models understand not just what’s being said—but how it’s being said. We analyze customer feedback, conversations, and service logs to surface detailed insights around tone, intent, and emotional cues—helping teams make smarter, empathetic decisions.
We combine vision, speech, and text understanding into unified pipelines. Whether it’s reading documents, recognizing objects, or extracting meaning from conversations—our cognitive systems turn unstructured data into actionable insights.
We develop neural architectures that act as intelligent agents—learning your workflows, making decisions, and executing tasks autonomously. These AI agents evolve through feedback loops, perform context-aware actions, and adapt to changes in real-time, transforming operations at scale.
We build machine learning systems that not only forecast and classify but also power autonomous reasoning within larger agent workflows. With fine-tuned models and clean pipelines, we turn your enterprise data into a strategic engine.
Turn your dashboards into dynamic, conversational, and predictive systems. We embed AI into your BI ecosystem to deliver forecasting, anomaly detection, and natural language Q&A—making insights accessible to every user, not just analysts.
We take automation to the next level with AI agents that go beyond RPA. These systems don’t just follow rules—they learn from data, adapt in real-time, and collaborate across tools using API orchestration and large language models.
testimonials
Sunflower Lab works efficiently and effectively. The vendor launched a prototype in three weeks and a working version in just three months. Their speed and willingness to respond to the client's needs were impressive. They were always accommodating, responsive, and supportive.
Alexandru Darie
Philips (Signify)
Engagement Models
Sunflower Lab has got an extensive variety of AI/ML Service modules which you can choose from, depending on your needs and business size, and our services are ready to serve you in all possible ways.
Consulting
If you are still in the thought process of having an AI/ML product or service for your need, our qualified consultants are guaranteed to help you resolve the dilemma, decide what is best for your business with our experts.
Hire-an-Engineer
No obstacles are small enough to risk it, therefore even for your minute AI/ML problems, our engineers at Sunflower Lab can be hired on an hourly basis to provide you with an efficient solution.
End-To-End Development
Most businesses and companies could be requiring an AI product from scratch to directly embed with their daily operations, with our deployment and post-delivery service, our end-to-end AI/ML Development is a 360-degree process.
Implementing Solutions to Automate Healthcare with Analytics & Predictive Analysis
⸻ Case study - Zinniax
ZinniaX partnered with us to bring automation into key healthcare operations. We introduced AI solutions for appointment scheduling, case management, and insurance workflows—leveraging deep learning and NLP to reduce manual effort. The result? A streamlined, intelligent system that supports better care, faster response times, and lower admin overhead.
From strategy to deployment, we help you build AI-powered systems that think, adapt, and scale.
Analyzing customer response through Sentiment Analysis
⸻ Use Case – Customer Feedback Analysis
We developed an AI-powered system that reads customer feedback across channels using sentiment analysis, a Generative AI chatbot, and predictive analytics. It identifies emotion, flags key issues, and auto-generates tickets—turning raw input into clear actions for CX teams.
Chatbot solution for swift queries and improving customer satisfaction
⸻ Use Case - Conversational bot
We created a smart conversational bot trained on enterprise data and curated response flows. With NLP and intent recognition at its core, this solution answers customer queries accurately, reduces manual resolution time, and improves overall satisfaction. Always-on, scalable, and aligned with your brand’s voice.
We Are Broadly Present Across All The Major Economic Sectors
As a top software development company, we are well-equipped with technologically qualified experts who are ready to serve any of the relevant enterprises in need of software development.
- Healthcare
- Finance
- Restaurant
- eCommerce
- Logistics
- Social Networking
- Games and Sports
- Travel
- Aviation
- Real Estate
- Education
- On-Demand
- Entertainment
- Government
- Agriculture
Quality enhancement and waste reduction in Ohio with AI
⸻ Use Case – Quality Control & Defect Detection
In Ohio, we implemented a real-time quality inspection system using machine learning and vision AI. The models analyze image and sensor data from production lines to detect defects with high precision. By reducing inspection errors and enabling faster response, this system improves yield, minimizes waste, and maintains consistent product quality.
Looking to build a custom AI solution aligned with your workflows? Collaborate with experts who understand both business context and advanced AI engineering.
Our AI Powered Technology Stack
Procuring Insightful And Precise AI/ML Managed Services
Our process starts with understanding your exact needs, a sequential course of action starts taking shape in the form of AI ML products. We have a credible methodology which has proven vital for our customers in the past. Have a glimpse at our process line.
Discovery & Ideation
Ideas are brainstormed and potential AI cloud solutions are analyzed upon to address the needs of users and their problem areas. Pinpointing the exact area to work on and identifying the inefficiency for AI to work is always the first step.
Development
Creation of the product includes coding, integration, and testing. Development of the AI managed services for product’s core functionality as well as its features. This stage produces the first look at your AI product which will be further tuned.
Design
This stage includes a comprehensive design of the AI/ML product and modeling of the intelligent prototypes or wireframes for visualization of the product’s framework. This part of the process enables you to customize the program.
Testing
It involves assessment of the product by real users to compile reports to check that the product meets its expectations. This includes usability and affirmation to gather user feedback & pinpoint issues and areas that must be revamped.
Launch
Deploying of the product to market and promotion of its content to intended users. The formation of a launch plan and timeline. The product performance will be examined, and the user feedback post-launch is also analyzed.
Ongoing Support
This is an incessant process as it involves the maintenance and upgradation of the AI/ML product over time. Bugs, glitches, monitoring of software performance and updates are part of this long-term product support.
Teams & Achievements
12+
Years Of Experience
100+
Projects Completed
96%
Customer Retention
32+
Industries served
Explore Our More Capabilities
Choose only the top partners for your AI/ML Services and Consultancy. A proficient team like Sunflower Lab can fulfill your business needs.
FAQ
You can always contact our team at Sunflower Lab who are always eager to speak with you regarding your software needs. If you already have an identified gap to fill with our AI app development services, do not think further about getting in touch. Building an impactful product starts with a single step. We also provide a free project estimate and quote, all you need to do is contact us
A simple way to address this question is to say that you must have a clear and conscience idea about your needs and problems so that our AI & ML app development services team can analyze it and come up with a neat solution. By providing us with a precise problem in your organization, we will be able to act swifter and can be more advantageous in terms of time and development.
In the fast-moving world, every solution is bound to have an edge over others and with AI solutions, as an AI app development company we can say with a lot of confidence that Artificial Intelligence and Machine Learning provides you with a seamless and cost-efficient option with a wider network range. Cloud-based solutions are always a better option than others.
Computers can interpret and analyze the visual world using computer vision, a form of artificial intelligence that mimics how people perceive and comprehend their surroundings. As an AI app development company, we will enable you to recognize and categorize items in digital photos and videos, it uses machine learning models, after which it enables computers to respond to what they observe.
Computer systems could be taught to learn from data without being explicitly programmed, this is understood as machine learning, a subset of Artificial Intelligence. Machine learning is an essential part of many AI systems and is employed to enhance performance over time. A leading AI app development company can be employed for the same
AI &ML app development has gone a long way to create many useful solutions, Let’s look at some common machine learning applications used in different fields like self-driving cars, speech recognition, predicting traffic patterns, e-commerce product recommendations, Image recognition, detecting spam emails, detecting malware, and using a virtual personal assistant.
AI app development services are provided by many companies, and it is a wise decision to make, so the Top 5 Things to Look for When Choosing a Reliable App Development Partner according to us are: Competency and Experience, Portfolio and testimonials, Cost of developing an app, Communication Techniques and Client Focus.
From Ideation To Support, We Partner With You All The Way
Contact our team of experts today!
