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AI Technology Consulting

Leading specialists in artificial intelligence technology eager to help with scalable AI integration plans for your business to thrive. Valid & fast AI technology consulting to set a new benchmark for product quality

Trusted by Innovative Companies

AI Consulting Advantages for Business

ai consulting services
AI case assessment by AI technology experts
bi implementation
A thoroughly built implementation plan
list check
Guidance from tech-savvies
cost
Feasibility analysis
generative ai
AI technology solution 
to complement your needs
engine integration
Smooth AI implementation and moderation

AI Technology Consultancy & Development

Before developing a custom solution, we analyze the feasibility of your idea, business specifics, use cases and choose cost-efficient and scalable AI technologies. Let us walk you through the AI technology consultancy stages step by step.
  • Technology & AI Strategy
  • Technology Integration Design
  • AI Feasibility for a Solution
  • Technology & AI Strategy

    Technology & AI Strategy
    icon list
    AI and Business Integration Develop an AI implementation plan that clearly defines how AI technology will enhance your core business objectives.
    data analysis
    AI Capability Assessment Evaluate the current state of AI maturity within your organization, identifying strengths and gaps in capabilities.
    data strategy
    AI Roadmapping Develop an AI implementation roadmap that schedules phased advancements in technology adoption to ensure your business growth.
  • Technology Integration Design

    Technology Integration Design
    list pen
    Client Requirements We assess and document business objectives, technical requirements, and constraints to ensure alignment with the AI solutions.
    ai consulting services
    AI Technology Evaluation We conduct assessments of AI technologies to gauge their relevance to the data and compatibility with existing business systems.
    ai customer
    Scalability Assessment Our team evaluates potential AI tools for their ability to scale with the client's business growth, ensuring long-term viability.
    Improved Visibility
    Integration Design We create a blueprint for integrating AI technologies into current business infrastructures.
  • AI Feasibility for a Solution

    AI Feasibility for a Solution
    business intelligence
    Requirement Analysis We assess the specific business needs and technical requirements to determine the suitability of AI solutions.
    icon machine learning
    AI Development Feasibility Our team evaluates if AI technology is mature enough to develop solutions.
    recommendation engine
    Technology Infrastructure Assessment We analyze existing technological infrastructure to determine if it can support the proposed AI solutions.
    AI
    Cost Estimation We provide detailed cost estimates for developing, integrating, and maintaining AI solutions for your business.
  • icon list
    AI and Business Integration Develop an AI implementation plan that clearly defines how AI technology will enhance your core business objectives.
    data analysis
    AI Capability Assessment Evaluate the current state of AI maturity within your organization, identifying strengths and gaps in capabilities.
    data strategy
    AI Roadmapping Develop an AI implementation roadmap that schedules phased advancements in technology adoption to ensure your business growth.
  • list pen
    Client Requirements We assess and document business objectives, technical requirements, and constraints to ensure alignment with the AI solutions.
    ai consulting services
    AI Technology Evaluation We conduct assessments of AI technologies to gauge their relevance to the data and compatibility with existing business systems.
    ai customer
    Scalability Assessment Our team evaluates potential AI tools for their ability to scale with the client's business growth, ensuring long-term viability.
    Improved Visibility
    Integration Design We create a blueprint for integrating AI technologies into current business infrastructures.
  • business intelligence
    Requirement Analysis We assess the specific business needs and technical requirements to determine the suitability of AI solutions.
    icon machine learning
    AI Development Feasibility Our team evaluates if AI technology is mature enough to develop solutions.
    recommendation engine
    Technology Infrastructure Assessment We analyze existing technological infrastructure to determine if it can support the proposed AI solutions.
    AI
    Cost Estimation We provide detailed cost estimates for developing, integrating, and maintaining AI solutions for your business.

AI Solutions Development

Our team of experts scrutinize all the practicable options to provide a unique decision for every client - as a result every case is one-of-its-kind.
  • State of the Art Models

    Building AI Architecture

    Our team creates AI systems that are specifically designed to improve certain products or services while addressing particular business concerns.
  • Improved Productivity

    Prototype Testing

    Before implementing AI solutions fully, we gather data to improve and maximize efficacy through the development of pilot models.
  • development

    Agile Development

    We utilize an agile approach that includes frequent customer feedback loops to continually refine the AI solution and make it perfect for clients.
  • increase

    Continuous Improvement

    To make sure AI systems keep up with changing business needs and technical breakthroughs, we constantly analyze and improve them.
Stay Ahead of the Curve with AI-Driven Strategies
Reap the benefits of AI innovation and take a competitive edge among rivals. Take a step to resilience to rapid market changes.
Contact us

Why AI Technology is Worth It

Generate even more revenue and grow faster with AI technology. It’ll give you the upper hand in many fields:
  • Smart business solutions

    Operational efficiency

    Cost saving

    Regulations adherence

  • Maximum client personalization

    Scalability and flexibility

    Scenario evaluation and prediction of trends

    Savvy risk handling

  • Data administration

    Competitive edge

    High-level economy

    Strong safeguarding

Why InData Labs?

World-class specialists, client-centered approach, and flexibility - the three pillars of cooperation with us.
  • ai customer
    10 Years of Experience
    Having worked with different industries, cases, and requests, we know how to develop best-in-class solutions for superb results.
  • Strong ML team
    100+ Experts
    Top certified professionals with a deep domain in this sphere are eager to apply their strong expertise in AI consulting and development.
  • AI retail vip
    155+ Projects
    Helping high-end clients from around the world to achieve their ultimate goal, InData Labs has created smart solutions for the USA, UK, and Europe.
  • ai software development
    Transparency
    Over a span of many years, we established trust in our unique AI technology solutions and earned a reputation as a dependable and diligent team.
Have a Project Idea?
Make an appointment for a meeting with one of our AI integration consultants to go over the idea's viability, relevant business use cases, and realization options.

Book a consultation

Our Clients Speak Out

  • Reviewed on Clutch
    Pavel Nurminskiy
    Pavel Nurminskiy
    Head of Machine Learning at Creative Research, Wargaming

    If you want to have a stable and efficient product, I recommend working with InData Labs.

    They created an anti-fraud solution for our company, implemented and improved algorithms, and collaborated to deliver a working product. InData Labs’ work helped us save a significant percentage of our marketing budget. Clients can expect a partner who excels at delivering products.

  • Reviewed on Clutch
    Ivan Akulovich
    Ivan Akulovich
    Project Manager of Business Development Department, AsstrA

    The competitiveness of InData Labs in the field of data science impressed us. More importantly, we learned many things from them.

    InData Labs built a new freight rates prediction software for our company. The increased quality of the data results we received dramatically improved our metrics. InData Labs did an excellent job and became our trusted data science partner.

  • Vishal Gurbuxani
    Vishal Gurbuxani
    Co-Founder & CTO, Captiv8

    Without InData Labs we wouldn’t have gotten all the exclusive data from social media that we offer to our customers today. With no doubt, I highly recommend InData Labs for any big data related projects.

  • Reviewed on Clutch
    Eudis Anjos
    Eudis Anjos
    Senior Engineering Manager of GSMA

    InData Labs completed the deliverables on time and met our expectations. They recommended improvements and shared ideas for new features. We appreciated the team’s friendly approach, engagement with the project and the friendliness.

    They were like part of my team, I had the confidence to reach any of the team members at any time. It was as if we were working in the same physical environment.

  • Reviewed on Clutch
    Brent McCarthy
    Brent McCarthy
    CEO & Co-Founder, Myka LLC

    Not only is the team fully capable of delivering what we want, but they also deliver in a timely manner.

    Thanks to our team at InData Labs, we were able to quickly correct all issues/bugs from our previous developers, while implementing a custom algorithm for our most pertinent feature of our app, artificial intelligence. They turned our app around from unusable to outstanding and marketable in a matter of months.

  • Reviewed on Clutch
    Andrew Kovzel
    Andrew Kovzel
    CTO, Flo: Smart Period Tracker

    As a growing company, we found InData Labs’ expertise in data science invaluable. In almost two years of our cooperation, they’ve helped us define our data analytics strategy, build a scalable data pipeline, and improve menstrual cycle predictions with a sophisticated neural network.

  • Reviewed on Clutch
    David Cairns
    David Cairns
    CEO & Co-Founder, Skorebee

    We have used InData Labs help us create not only the scoring models, but also build frontend and backend components which have all been completed with high quality, within expected timelines, and with clear visibility into ongoing status. The InData team think in terms of being a long-term partner…not just a provider, and I would recommend them to anyone who values intelligent, diligent & proactive development partners.

  • Reviewed on Clutch
    CEO and Co-Founder of an Spinout from the University of Copenhagen

    Their competence in data science, machine learning is second to none. The algorithms and methods were extremely well-explained and documented. We were likewise impressed by the friendly and proactive engagement we got from every member of the team. We’re a very small organization with a limited budget, but they always treated us like our problems and our business was of utmost importance. In short, we got the same level of service that a company 1000x our size would have gotten.

  • Reviewed on Clutch
    Head of Business Development, Corporate Start-Up

    Their drive was strong, and the whole team pushed their limits to meet deadlines and make everything work. Their strengths showed throughout our collaboration.

    Give them a try, even with small projects to test them out. They won’t disappoint you, and they’re very open about what they can and can’t do. I would recommend them to anyone.

FAQ on AI Integration Technology Consulting

  • Typically, during a consultation, several points are covered:

    • Understanding the client’s key business challenges, goals, issues, and opportunities where AI can be applied.
    • Identifying needed AI technologies and approaches and evaluating the feasibility of implementing AI solutions, considering factors like data availability, technology infrastructure, and cost.
    • Assessing the client’s data quality, availability, and relevance, as well as cleaning, organizing, and transforming data to make it suitable for AI model training.
    • Creating a mockup of custom AI models tailored to the specific requirements of the client’s business.
  • AI integration is a process of implementing artificial intelligence technologies into existing business workflows with the aim of gaining additional benefits, profits, and a competitive edge. AI can automate tasks, accelerate internal procedures and solve specific problems.

  • InData Labs has worked with a wide range of industries, including FinTech, Retail & E-commerce, Entertainment, Logistics, Healthcare, Automotive and Marketing. There are no limits for AI integration as any business can benefit from leveraging modern technologies.

  • AI is capable of dealing with different requests and tasks, some of which are:

    • Communication with customers via virtual assistants and chatbots;
    • NLP solutions for customer preferences;
    • Supply management with demand forecasting;
    • In-house staff data collection and analysis for HR;
    • Customer retention analysis and financial solutions;
    • Personal recommendations system for UX, and more.
  • The cost of implementing AI varies according to project difficulty, purpose, current framework, and so on. Since it is a unique and powerful tool, the price might range from $30,000 to $250,000. Usually, the AI project starts with a proof-of-concept to validate the AI business case.

  • As a rule, the most effective and sought-after capabilities of AI for business include:

    • Machine learning;
    • Deep learning;
    • Neural networks;
    • Natural language processing.

Contact InData Labs

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