We want to add AI to our product - where do we even start?

You don’t need all the answers upfront - that’s what we’re here for. We’ll look at what you’re building, where you’re spending the most time or effort, and help you figure out where AI can actually make a difference (and where it’s not worth it).

Do we need a massive dataset to use AI?

Not necessarily. If you want to train your own model from scratch - yes, you’ll need a lot of data. But most practical use cases can be built using pre-trained models like GPT-4 or Claude, with just a bit of context from your side.

How long does it take to integrate AI?

Short answer: 2–12 weeks, depending on what you’re building. A chatbot or content feature might take a couple of weeks. A custom-trained model or full-scale automation system? That’ll take longer. We’ll map it out for you before we start.

Can you work with our current product or team?

Yes, 100%. Most of our work is integrating AI into products that are already live or mid-development. We’re used to plugging into in-house teams, working with legacy code, or navigating messy workflows - without slowing you down.

What kind of budget are we talking about?

It really depends on scope. Simple integrations can start from a few thousand dollars. Larger AI systems or ongoing support plans will cost more - but we always scope transparently and work within your budget.

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AI Integration
Services

Unlock business growth with custom AI features, automated workflows, and seamless large language model (LLM) integrations - tailored to your product or process.

Flexible Engagement Models

Strict NDA

1 Week Risk-Free Trial

Trusted by Startups and Enterprises Worldwide

Success Speaks Louder

Watch How We Make a Difference.

SolGuruz turned my pencil sketches into a beautiful, fully functional AI journaling app. Their team was transparent, reliable, and easy to work with from start to finish.

Robert Mond

Principal, The Master Storytellers LLC | New Mexico, USA

SolGuruz truly understood our niche industry needs. They built a custom app that simplifies compliance and operations — with sharp execution and great communication.

Chad Smith

Owner, Monarch Radon Testing LLC | Colorado, USA

our expertise

Types
of AI Integration Services We Specialize
In

Whether you want to build a chatbot, automate internal processes, or launch AI-powered features in your product - we cover a wide spectrum of AI integration types tailored to your goals.

1. Generative AI Integration

Add text generation, smart replies, or image creation by plugging in large language models (GPT-4, Claude, Gemini) that are fine-tuned for your exact use case.

2. Conversational AI

Build chatbots and voice assistants that truly understand users—no rigid scripts—so customer support, onboarding, and internal helpdesks feel natural and actually solve problems.

3. Predictive AI

Spot patterns before they happen—forecast sales trends, customer churn, inventory needs, or risk—to make smarter planning and budgeting decisions.

4. Recommendation Systems

Surface the products, articles, or next steps each user is most likely to love with engines that learn and improve from real behavior.

5. AI for Process Automation

Offload repetitive back-office work—ticket classification, document summarization, email sorting—so your team can focus on what truly matters.

6. Computer Vision Integration

Give your product the power to 'see'—scan documents, recognize faces, or understand any visual data for healthcare, logistics, security, and retail.

Our AI Integration
Services That Clients Love

We don’t just plug in APIs and call it a day. Our AI integration services are designed to align with your business goals, product roadmap, and technical environment - from idea to implementation.

Here’s how we help:

01 Custom AI Feature Development

Whether you’re building an AI chatbot, smart search, or predictive dashboard - we design and develop AI-powered features that blend seamlessly into your product.

02 LLM Integration (OpenAI, Claude, Gemini & more)

We integrate leading large language models into your apps or workflows - with guardrails, fine-tuning, and context management built-in.

03 Full-Cycle AI Implementation

From identifying the right use cases to deploying production-ready AI, we handle it all. You get a team that can design, build, and maintain your AI stack end-to-end.

04 AI Automation Setup

We set up smart automations that help you handle repetitive tasks - like document processing, support classification, or email triage - without breaking your systems.

05 Custom Model Training & Deployment

Need something that’s highly customized as per your needs? We can help you train, fine-tune, or deploy your own models using your proprietary data and domain knowledge.

06 Data Infrastructure for AI

We help you prepare your data and set up the right infrastructure - like data pipelines, vector databases, embeddings, and more - so your AI runs smoothly and securely.

How
We Help You Integrate AI the Right Way

AI projects don’t fail because of the tech - they fail because of poor planning, wrong use cases, or clunky execution. We’ve built our process to avoid all that.

Here’s how we do it:

Discovery & Feasibility Check

We start by understanding your business goals, challenges, and current workflows. Then we help identify where AI can make a real impact - and where it's not worth the effort.

Solution Design & Model Selection

Once we've found the right use cases, we design the solution architecture. Whether it's integrating an LLM, setting up automation, or training a model - we choose the right tools, models, and approach for the job.

Development & Integration

This is where we build. Our team develops, tests, and integrates the AI feature into your product or process (without breaking what already works). You can expect a clean rollout, clear documentation, and a test-first mindset.

Post-Launch Support & Optimization

We don't disappear after go-live. Once your AI feature is in place, we help monitor its performance, gather real user feedback, and fine-tune it for better accuracy and speed. And if you want to expand or evolve your AI use case later - we're already in sync.

Where
AI Integration Works Best

We’ve worked with teams across industries to bring AI into real-world use cases. Here are just a few examples of where AI can deliver serious value:

E-commerce & Retail

Personalized product recommendations
Inventory and demand forecasting
Smart customer support (chatbots, returns automation)

SaaS & Digital Products

AI copilots inside your app
Smart search, autocomplete, and summarization
Usage-based insights and automated reporting

Healthcare

Medical document summarization
AI-powered intake forms and triage assistants
Image-based diagnostics (via computer vision)

Finance & Insurance

Risk assessment and fraud detection
Claims processing automation
Financial document parsing and analysis

HR & Recruiting

Resume screening and smart candidate matching
AI-assisted interviews or onboarding
Internal support bots for HR queries

Marketing & Sales

Lead scoring and email automation
AI-generated content drafts
Campaign performance prediction

Our
AI Development Process

We don’t do bloated processes or vague timelines. Our AI development workflow is designed to get you to market fast - with clean architecture, clear communication, and no surprises.

01 Discovery & Planning

Outcome: A detailed scope with relevant features and their timeline.

We start by understanding your product, user needs, and business goals. Then we move ahead to the part where we create a clear roadmap.

02 Architecture & Stack Setup

Outcome: A rock-solid foundation that is built for long-term maintainability and speed.

We always build a scalable AI services and pair it with the right tools.

03 Agile Development in Sprints

Outcome: Tangible progress, early feedback, and faster iteration.

No black-box development. You get working builds every week, real-time feedback loops, and visibility into every sprint.

04 Testing & Quality Assurance

Outcome: A stable, secure, and production-ready AI app.

We bake in testing throughout the process - including unit tests, manual QA, and performance checks - so nothing breaks at the finish line.

05 CI/CD, Launch & Deployment

Outcome: Fast, reliable launches without downtime or last-minute surprises.

We set up automated pipelines and staging environments so that we can ensure smooth deployments with rollback options.

06 Post-Launch Support

Outcome: A partner who supports the long game, not just the launch.

We stay with you post-release - fixing bugs, optimizing performance, and rolling out new features as you grow.

Industry Expertise: Finding the Right Fit

Leverage domain-specific knowledge for faster time-to-market and better outcomes. Our developers have deep experience across sectors, such as:

Healthcare

Fitness & Wellness

Real Estate

Travel & Hospitality

Fintech

E-commerce & Retail

Education

Supply Chain & Logistics

Media & Entertainment

Automotive & Mobility

Home Servicing

Sports

We Have
Experience With Popular AI Models

We don’t just read the docs - we work hands-on with the leading AI models and tools shaping the future of software.

Whether you need plug-and-play power or a fully customized setup, we know how to get the most out of today’s best AI engines.

01 Large Language Models (LLMs)

OpenAI GPT-4 / GPT-3.5 – Chatbots, content generation, Q&A systems
Anthropic Claude – Helpful, safer AI assistants with long context
Google Gemini – Multimodal AI (text + image + code)
Meta LLaMA, Mistral – Open-source alternatives for private deployments

02 AI Dev Tools & Frameworks

LangChain / LlamaIndex – Custom app development using LLMs
Vector Databases – Pinecone, Weaviate, FAISS for memory & retrieval
RAG (Retrieval-Augmented Generation) – For smarter, context-aware AI
Hugging Face Transformers – Open-source models for NLP, vision, and more

03 Custom Models & Fine-Tuning

Model fine-tuning using your proprietary data
Private deployment and optimization for speed, cost, or compliance
Guardrails, safety, and hallucination reduction strategies

Why Choose Us
for AI Integration

Most teams can hook up an API. Few can make AI actually useful in your product or process. That’s where we stand out. Here’s why teams trust us to deliver AI that works - not just demos well:

Here’s why teams trust us to deliver AI that works - not just demos well:

AI That Solves Real Problems

We don’t chase hype. We focus on building features and automations that make your product smarter or your business faster—with measurable results.

Product + Engineering Expertise

We’re not just AI nerds—we understand UX, infrastructure, and how real-world software works. That means smoother integrations, fewer rewrites, and happier users.

Built for Scale and Ownership

Whether it’s a lightweight API call or a fully self-hosted stack, we build for your current needs and your future roadmap. You own the IP, the data, and the direction.

Long-Term Support, Not Just Launch

We stay with you after deployment—to monitor, improve, and evolve your AI system as your needs grow.

case studies

Your Vision,
Our Code

Want to see what we can do? Explore how our team has built custom software for businesses like yours.
We don’t just deliver code; we deliver innovation and satisfaction. Our successful apps speak for themselves. Clients love them. That’s how we ensure your digital success.

AI-Powered Fitness App Solution

Explore how SolGuruz created an AI-powered fitness app that enhances personal training with features like meditation, workouts, exercises, fitness challenges, and a meal and diet planner.

View Full Case Study