Data science and AI consulting firm with 80+ specialists delivering custom AI-powered solutions with proprietary R&D center since 2014.
InData Labs is a data science firm and AI-powered solutions provider that helps companies find solutions to their artificial intelligence challenges. With expertise in generative AI, cognitive computing, big data analytics, and computer vision, they provide consulting services and custom software development to enable businesses to innovate with AI, automate processes, and gain valuable insights from data.
Our take on InData Labs
InData Labs has built a solid reputation since 2014 as a specialized data science and AI consulting firm with distinctive R&D capabilities. Their 80+ team comprises highly educated professionals (59% hold master's degrees in Applied Mathematics, System Analysis, and Computer Science), demonstrating serious technical depth. Recognition by Clutch as a Top 1000 Global Service Provider and DesignRush's Top AI Provider validates their market position.
The company's proprietary technologies and active R&D center participation (including Rolls-Royce Manufacturing Hackathon) showcase their commitment to innovation beyond client work. Their service portfolio spans machine learning, computer vision, NLP, predictive analytics, and generative AI - all backed by custom model development capabilities. Client testimonials consistently praise their technical competence, with specific mentions of dramatically improved metrics and cost savings.
InData Labs' boutique structure (50-249 employees per some sources) enables flexibility and personalized attention while maintaining specialized expertise. Their focus on high-quality training data, custom model development, and ethical AI practices demonstrates professional maturity. The team's university lecture participation and continuous investment in talent development suggest commitment to knowledge leadership.
However, their smaller size compared to enterprise consulting giants may limit capacity for simultaneous large-scale projects. Their pricing ($50-99/hr range, projects typically under $100K) positions them in the competitive mid-market segment. While they offer competitive value, organizations requiring extensive full-stack UI/UX design may find their data science specialization means less depth in frontend development compared to full-service agencies.
Verified credentials and recognition earned by InData Labs
Verified
This agency has a verified website presence.
LinkedIn Verified
This agency has a verified LinkedIn company page.
Top Rated
This agency has an exceptional AgencyCluster score of 80+.
10+ Years
Established in 2014. Over 10 years of experience.
Mid-Size
Medium (51-200)
Rankings earned on AgencyCluster
Common questions about InData Labs.
InData Labs has earned rankings on 4 AgencyCluster lists: Top 25 AI Chatbot Development, Top 50 AI Chatbot Development, Top 50 Data Engineering & Modern Data Stack, Top 10 AI Chatbot Development in Florida. Their highest AgencyCluster Score is 80/100. Rankings are merit-based and determined by evidence across six evaluation pillars — agencies cannot pay for higher positions.
In our evaluation for Data Engineering & Modern Data Stack, InData Labs scores 80/100 overall. Their strongest areas are Credibility, Proof of Work & Outcomes, Reputation, Category Fit, Delivery Maturity, Freshness. A high Outcomes score means they have verifiable case studies with measurable results — the most heavily weighted factor in our methodology.
InData Labs was founded in 2014, giving them over a decade of experience in ai/ml development. In an industry where many agencies are less than 5 years old, 12+ years of sustained operations signals stability, client retention, and the ability to adapt through multiple technology cycles. Today, the team is mid-size.
InData Labs is listed across 3 categories on AgencyCluster: AI/ML Development, Data Engineering & Modern Data Stack, AI Chatbot Development. This indicates a full-service or multi-discipline capability. Multi-service agencies can be advantageous when your project spans several disciplines (e.g., design + development + marketing). However, check their scores per category — an agency may be strong in web development but less specialized in, say, AI/ML. AI/ML specialists know when to build custom models vs. use pre-trained ones, how to set up reliable data pipelines, and how to deploy models that work reliably in production — not just in a Jupyter notebook.
AI/ML proof-of-concept projects cost $30K–$100K. Production ML systems with data pipelines and MLOps range from $100K–$500K+. LLM integration projects typically cost $40K–$200K. Ongoing model maintenance runs $5K–$20K/month. These are industry benchmarks for ai/ml development agencies at the level AgencyCluster curates. Actual pricing for InData Labs will depend on project scope, timeline, and complexity — contact the agency directly for a custom quote.
Yes. InData Labs has been vetted and verified by AgencyCluster's editorial team through a rigorous, multi-factor review process. Unlike self-serve directories, AgencyCluster does not accept automated submissions — every agency is evaluated manually before being published. Our vetting covers identity verification (website, LinkedIn, domain age), business legitimacy (years of operation, team size, registered presence), evidence of work (case studies, portfolio, client outcomes), reputation checks across third-party platforms, activeness and freshness of their online presence, and screening for red flags including misconduct, fraud, or misleading claims. Agencies that fail any critical check are not listed. For InData Labs, verified signals include a functioning website, LinkedIn company profile, 12+ years of operating history (founded 2014), 4 earned rankings on curated top lists.
