Markovate - Generative AI Development Company

Generative AI Development Company

Markovate provides generative AI development services for enterprises: LLM fine-tuning, RAG knowledge assistants, copilots and agentic AI, built securely into your data and workflows. Start with a working proof of concept in 4–6 weeks.

Working PoC in 4–6 weeks · Model-agnostic: GPT, Claude, Llama, Gemini · ISO/IEC 27001 certified · You own the models and code

Clutch ★★★★★ 5.0 · 12 verified reviews

Trusted by Enterprises

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Markovate on Clutch GoodFirms AWS Partner Google Cloud ISO certification

Rated 5.0 ★★★★★ on Clutch from 12 verified reviews

We build with models from OpenAI · Anthropic · Google · Meta · Mistral

60%

Faster query responses with a generative AI medical research chatbot.

80%

More accurate data extraction and validation for insurance submissions.

86%

Lower operational costs in property inspection for NVMS.

WHAT WE OFFER

Generative AI Development Services

Responsible AI Consulting

We help organizations adopt Generative AI responsibly, ensuring fairness, transparency, and accountability across the entire AI lifecycle. Our team builds governance frameworks, bias detection protocols, and compliance strategies that align with global standards.

Conversational AI

Markovate builds advanced Conversational AI systems powered by large language models that understand context, intent, and emotion. Our solutions go beyond scripted chatbots, enabling intelligent, human-like conversations that automate support, personalize engagement, and accelerate decision-making.

LLM Fine-Tuning & Integrations

We fine-tune large language models (LLMs) on your proprietary data to deliver context-aware, accurate, and business-specific responses. We integrate these models seamlessly into your existing systems, empowering your organization with AI that understands your domain, customers, and objectives.

Enterprise Generative AI

We help enterprises harness the full potential of Generative AI to reimagine business processes, accelerate innovation, and drive scalable automation. From intelligent document processing to decision-support copilots, we build enterprise-grade Generative AI ecosystems that integrate seamlessly with your data, systems, and workflows.

Agentic AI Development

Markovate develops Agentic AI systems that go beyond conversation, reasoning, planning, and acting autonomously to complete complex business tasks. Our agents integrate with enterprise tools, analyze data, and execute multi-step workflows to deliver continuous, intelligent automation at scale.

Generative AI Integration

We add generative AI to the apps, CRMs and ERPs your teams already use, connecting LLMs to your data through secure APIs so new capabilities work inside existing workflows, without replacing your systems.
WHAT WE BUILD

Custom generative AI solutions we build

Production systems, not demos. Each one is connected to your data, tools and security rules.

RAG Knowledge Assistants

Assistants that answer questions from your documents and databases with sources, so answers stay grounded in your own data.

Document AI

Read, classify and extract data from forms, contracts and submissions, and flag missing fields, like our insurance document extraction tool.

Copilots for Teams

Assistants inside the tools your sales, support and operations teams already use, drafting, summarising and finding answers for them.

Conversational & Voice AI

Chat and voice assistants that handle customer questions and orders end to end, like our medical research chatbot.

Content & Report Generation

Draft reports, summaries and presentations from your data, in your format and tone.

Vision + Generative AI

Image analysis combined with language models, for example property inspections that detect issues and write the report.

AI Agents & Workflows

Agents that take actions in your ERP, CRM and internal systems, with a human in the loop. See our AI agent development services.

Generative AI by Industry

Generative AI solutions for manufacturing, construction, healthcare, insurance and real estate.

Monitoring & Improvement

After launch, we track accuracy, cost and usage, and keep improving prompts, retrieval and models as your needs change.

OUR FEATURED WORK

Generative AI Case Studies

Medical Research AI Chatbot - Generative AI Case Study

Healthcare

Transformed Medical Research with a Generative AI Chatbot

Markovate engineered a Conversational AI system that leverages advanced LLMs to deliver medically verified information to breast cancer patients. By integrating real-time research data and clinical trial repositories, the chatbot provides reliable, context-aware guidance while maintaining strict compliance with healthcare data standards.
  • Reduced query response time by 60%
  • Evidence-based responses supported by trusted data sources
  • Summarizes lengthy and complex content into clear, actionable insights
  • Streamlined information retrieval, improving decision-making

Real Estate

Cut Operational Costs by 86% for Property Inspectors

We harnessed Generative AI to analyze thousands of NVMS property images, automatically detecting visual anomalies with precision. Alongside, we built a Conversational AI chatbot that streamlines customer interactions and improves service efficiency.
  • Deep learning and computer vision driven image data extraction
  • GPT-based NLP chatbot for enhanced customer experience
  • Improved work efficiency by 80%
  • Image classification for detecting anomalies
NVMS - AI Property Inspection Solution - Generative AI Development
AI Document Data Extraction - Gen AI solution

Insurance

Redefined Large-Scale Document Processing for Accurate Insurance Submissions

We developed an Generative AI-powered document data extraction tool that automates data collection and validation for insurance brokers and underwriters, ensuring accurate submissions and enabling faster and more precise underwriting decisions.
  • 80% improved accuracy in data extraction and validation
  • Identifies missing fields and ensures data consistency
  • Scalable for handling high-volume submissions
  • Improved underwriting decisions with accurate data insights

Legal

Reimagine Legal Support Driven by in-Depth Legal Research

Our team leveraged Generative AI to fasten legal document analysis and drafting for a medium-sized law firm in Chicago.
  • Legal Chatbot Assistant
  • Improved Communication Efficiency
  • Research Time Reduction by 64%
AI Legal Assistant - Generative AI solution development
ERP AI Agent Development with Gen AI

Manufacturing

Revolutionized ERP System with an AI Agent for Streamlined Order Management

Markovate engineered an ERP AI agent for a major U.S. manufacturer that automates customer order management and inventory workflows, significantly improving order accuracy, real-time visibility, and fulfillment efficiency.
  • Automated order placement and real-time tracking
  • 95% order accuracy with reduced response times
  • Seamless ERP integration for inventory and pricing updates
  • Enhanced operational productivity across departments
TESTIMONIALS

What our clients say

See how businesses are using our AI solutions to make better decisions with measurable impact.

Within 3 months of working with Markovate, we reduced manual clinical coding work by 65%. We’re pleased with the AI agents supporting our workflows.

David V.
CEO, CodmanAI

Markovate’s AI platform helped improve our property inspection accuracy and reduce operational costs by 86%, helping us deliver a better customer experience.

Chris Cook
CEO, NVMS

Markovate’s AI Blueprint Classifier can process more than 150 drawings in a single pass, helping us prepare takeoffs and estimates faster.

Andrew B.
CEO, CivilTakeoff

Markovate helped us automate 95% of our paratransit workflows. We’ve been impressed by their team and the effectiveness of their solution.

Garrett Vandendries
Director & PMO, Trapeze

We worked with Markovate to build a financial tool for our business and clientele. The experience and results have exceeded our expectations. Markovate's team is great to have on your side if you need an experienced technology partner.

Michael Sedigh
CFO, 3M Corporation

As a retail business, finding the right technology partner was crucial. We partnered with Markovate, who expertly guided our product development from concept to launch. Their recommended innovative solutions have significantly enhanced our operations and reduced our costs.

John D
CEO, Aisle 24

Markovate’s legal AI assistant has reduced our argument preparation time by 78%. It supports our research and is used daily by our legal team.

Tate Lounsbery
Owner, Lounsbery Law Office, PC

Markovate built an AI workflow for investor presentations. With minor edits, we can now prepare presentations in 3 hours instead of several days.

Jacob A
Senior Associate, Madison Capital Group

Markovate’s AI solution helps us find information across support mailboxes and SharePoint, update FAQs, and maintain consistent customer responses. Within a few months, our overall work efficiency increased by 69%.

Tom
Partner, Very Mulberry

Markovate's AI Blueprint Classifier helped us significantly accelerate our quotations, cost estimations, and timeline planning. The automation and accuracy it brought to our blueprint analysis have been a major value-add to our pre-production process.

Jason Porter
COO, MPP Innovation

The AI Interview Agent has improved our hiring efficiency by 80% through natural conversations and automated scoring. Candidates can complete interviews anytime, giving our team greater screening flexibility.

Natalie C.
Talent Lead, AltaSpark

DeVoice helps us manage customer support workflows and answer customer queries. Since implementation, we’ve seen a 54% increase in positive reviews.

Doughlus
CEO, Nebula Pie & Pizza

For our live interviewing platform, we have worked with Markovate on building the infrastructure and roadmap planning. They have advised us on great solutions, and we highly recommend their team.

David Singh
VP Strategy and Operations, Kira Talent

We worked with both Rajeev and Mansi on Hawaii Revealed app development and launch. Excellent people with a thorough understanding of their business. They are experts in providing AI solutions for scalability and product modernization.

George Thompson
Sr. VP, Hawaii Revealed

I would recommend Markovate to businesses looking for a reliable technology partner. Their team combines strong technical skills with a deep understanding of business needs.

Lucie Lalumiere
President & CEO, Interactive Ontario
WHY US

Generative AI That Is Accurate, Secure and Under Your Control

Wrong answers and data leaks are the biggest risks in any generative AI project. This is how we keep your solution accurate, secure and yours.
Preprocess the data

Grounded answers

We use retrieval-augmented generation (RAG) to tie every answer to your own data and sources, which keeps answers current and cuts hallucinations.
Data security

Data security

Multi-factor authentication, encryption for data in transit and AES for data at rest. Markovate is ISO/IEC 27001 certified and aligned with GDPR and HIPAA.
Evaluation of Models

Tested before launch

We test accuracy and groundedness on your own data with tools like Guardrails, MLflow and LangSmith, and fine-tune until the model meets your targets.
MLOps Management

MLOps management

Our MLOps team deploys and monitors your solution, validates outputs and runs cost-impact analyses to keep performance and spend in check.
Production-grade model scalability

Costs that scale

Quantization and pruning keep output quality high while managing compute costs as usage grows.
Data security

Compliance & IP

We meet GDPR, HIPAA and SOC 2 requirements where needed. All models and code we build for your project remain your intellectual property.
PROCESS

Our Generative AI Development Process

From use case to production in six steps. Steps 1–4 deliver a working proof of concept in 4–6 weeks; steps 5–6 take it to production based on the results.

1. Discovery & use-case selection

We pick the use cases with the clearest ROI, agree the success metrics and check your data is ready.

You get: Prioritised use cases, success metrics and a data-readiness check

2. Data preparation & pipelines

We clean, structure and version your data and build the pipelines that keep it fresh.

You get: Clean, versioned datasets and a repeatable pipeline

3. Model selection & prompt design

We compare LLMs on your data, then choose RAG, fine-tuning or both and design the prompts.

You get: A model choice backed by test results on your data

4. Evaluation & guardrails

We test for accuracy, groundedness and hallucinations with Guardrails, MLflow and LangSmith, and add guardrails before anyone relies on it.

You get: A working proof of concept with an evaluation report

5. Deployment & integration

We deploy to your cloud, for example AWS SageMaker or Azure ML, and connect the solution to your apps, data and workflows.

You get: A production system inside your existing tools

6. Monitoring & improvement

We track quality, cost and usage in production and improve the model from user feedback.

You get: Performance monitoring and model updates from user feedback

TOOL & TECHNOLOGY

Generative AI development Tech stack we use

Our experts recommend the best technology stack for custom Generative AI development to create cutting-edge solutions.
Stability Diffusion tech stack
TOOLS & TECHNOLOGY

LLMs and generative AI models we work with

GPT (OpenAI)

Reasoning, coding and language generation, plus DALL·E for images and Whisper for speech-to-text.

Claude (Anthropic)

Deep reasoning, long documents and enterprise knowledge tasks.

Gemini (Google)

Multimodal reasoning across text, images and documents.

Llama (Meta)

Open models for private, self-hosted deployments in your own cloud.

Mistral

Lightweight, efficient open models for fast text generation.

Cohere Command R+

Built for retrieval-augmented generation (RAG) and enterprise search.

DeepSeek

Reasoning-focused models for coding, math and logic-heavy tasks.

Stable Diffusion

Controlled, customizable image generation and editing.
Show More
ENGAGEMENT

Ways to work with us

Generative AI Proof of Concept

Typically 4–6 weeks. One use case, built on your data and tested against agreed success metrics, so you see results before committing to a full build.

Full Build & Integration

After a successful proof of concept. We take it to production, connect it to your systems and support it with monitoring and ongoing improvements.

Forward Deployed Engineers

Our AI engineers work inside your team to build and ship generative AI with you, using your tools and processes.

Explore what generative AI can do for your business.

FAQs

Generative AI development services

What makes Markovate the right partner for Generative AI development?

We combine deep AI/ML expertise with hands-on product engineering experience. Our team has built Generative AI solutions across industries like healthcare, insurance, and fintech focusing on measurable business impact, scalability, and responsible AI deployment.

Do you build fully custom Generative AI solutions or integrate existing models?

Both. We fine-tune and integrate leading LLMs like GPT, Claude, and Llama for domain-specific needs, or develop fully custom Generative AI systems when proprietary data and control are essential. Our goal is always to align with your infrastructure, security, and performance requirements.

What is your typical engagement process for Generative AI projects?

We start with a discovery and strategy phase to define use cases and success metrics, followed by model design, integration, and validation. You get an initial proof-of-concept in 4–6 weeks, then we scale based on business results and ROI alignment.

How do you ensure data security, compliance, and IP protection?

Every Generative AI project follows strict data governance, encryption, and privacy protocols. We ensure compliance with GDPR, HIPAA, and SOC 2 where required. All models and code built for your project remain your intellectual property.

How much does generative AI development cost?

Cost depends on the use case, how much data preparation is needed, whether we fine-tune a model or use retrieval (RAG), the systems it connects to and your security requirements. Most projects start with a fixed-scope proof of concept, so you see results before committing to a full build. Book a consultation and we will scope it with you.

Should we use RAG or fine-tune an LLM?

RAG connects a model to your documents and data at query time, so answers stay current and can cite their sources. Fine-tuning changes the model itself to follow your tone, format or domain language. Many enterprise solutions use RAG first and add fine-tuning only where it clearly improves results.

How do you stop generative AI from making things up?

We ground answers in your own data with retrieval (RAG), show the sources behind each answer, and test every release for accuracy and groundedness with tools such as Guardrails, MLflow and LangSmith. Where a wrong answer is costly, a person reviews the output before it is used.

Which LLM is right for our project?

We are model-agnostic. We compare models such as GPT, Claude, Llama and Gemini on your own data for accuracy, speed, cost and where the data can be hosted, then recommend the best fit, including open-source models you can run in your own cloud.
Contact us

Ready to put generative AI to work?

Tell us about your use case and we will help you choose the right model and approach, and plan a realistic path to a working proof of concept in 4–6 weeks.

Whether you need a RAG assistant on your documents, a copilot for your team or an AI agent inside your ERP, our engineers can help you build it securely on your own data.

What we can help with
Generative AI Strategy
PoC Development
RAG & Knowledge Assistants
LLM Fine-Tuning
Copilots & Chatbots
AI Agents
Generative AI Integration
AI Governance
30-min strategy sessionSenior AI engineersNo obligationNDA on request

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