More than a consultancy. Your ally for data clarity, AI velocity, and cloud confidence.

Tenplus is an AI Consultancy, Data Consultancy, and Cloud Consultancy in one accountable team. We turn scattered data into governed intelligence, ship production-grade AI that survives real-world usage, and architect cost-sane platforms on AWS, Azure, and GCP. Our approach is simple: start fast, align to the KPIs that matter, and build only what moves the needle, lakehouse foundations where they accelerate, Snowflake where it simplifies, MLOps where it de-risks.

Governance and FinOps are designed from day one, so your leaders get trusted answers and your engineers inherit a stack they can actually run. The result isn’t another slide deck, it’s a dependable operating backbone pipelines, models, and dashboards that brief the board with confidence and scale without bloat or lock-in.

What we do?

AI Consultancy

  • AI agents & chatbots.

  • Recommender systems & predictive analytics.

  • Outcome-focused use cases that ship to production.

  • MLOps and responsible AI guardrails.

Data Consultancy

  • AI agents & chatbots.

  • Recommender systems & predictive analytics.

  • Outcome-focused use cases that ship to production.

  • MLOps and responsible AI guardrails.

Cloud Consultancy

  • AI agents & chatbots.

  • Recommender systems & predictive analytics.

  • Outcome-focused use cases that ship to production.

  • MLOps and responsible AI guardrails.

What we’re good at?

Rapid Deployment Framework

Our proprietary methodology condenses what typically takes 6+ months into a streamlined 8-12 week implementation

We offer a comprehensive Modern Data Platform Accelerator tailored for SMBs looking to rapidly unlock value from their data and leverage AI capabilities in just 60 days.

SMB-Focused Templates

Pre-built components tailored to common SMB use cases and data sources

Capability Building

Knowledge transfer and training to build internal competencies

Governance By Design

Built-in data governance and security aligned with SMB resources and requirements

Phased Implementation

Structured approach that delivers immediate value while building toward comprehensive capabilities

Business Requirements Translation

Founder-led expertise in converting business needs into technical Databricks solutions

Data Integration Framework

Streamlined approach to connect your existing data sources with minimal disruption

Adoption Acceleration

Strategic change management to ensure your team embraces and utilizes the new capabilities

The Challenge

Barriers to Entry

Talent Gap: Limited access to skilled data engineers and AI specialists with expertise in modern data platforms, cloud architecture, and LLM integration.

Technical Complexity: Overwhelmed by the intricacies of setting up and optimizing data pipelines, AI/ML infrastructure, and governance frameworks.

Resource Constraints: Unable to dedicate sufficient internal resources to build, maintain, and manage a data platform.

Knowledge Deficit: Lack of expertise in data governance, security, and compliance requirements.

Implementation Uncertainty: No clear roadmap for implementation or understanding of best practices.

Bright living room with modern inventory
Bright living room with modern inventory
Bright living room with modern inventory
Bright living room with modern inventory

What's at Stake?

Falling behind competitors who are already using AI and data-driven decision-making to accelerate growth.

Missing growth opportunities that could be identified through analytics.

Continued reliance on fragmented, siloed data leading to inefficient operations.

Inability to leverage existing data assets for business innovation.

Sunk costs in cloud tools, licenses, and data collection with no clear ROI or business impact.

Understanding the overarching trends of your business and overall market saves you time, money and energy in the long run, and can help you dominate your market.

How will you benefit?

Accelerated Time-to-Insight

Self-Sufficiency

Reduced Implementation Risk

a pink and blue box with a pink and blue box with a pink and blue
a pink and blue box with a pink and blue box with a pink and blue

Future-Proofed Architecture

Quick ROI

TCO Optimization

The Difference

Traditional Data Consultancies

  • Apply enterprise-level approaches to SMB problems.

  • Focus solely on technical implementation without business context.

  • Offer generic solutions that aren't tailored to SMB-specific challenges.

  • Create dependency rather than building client capabilities.

  • Struggle to bridge the gap between business needs and technical implementation.

Our Data Platform Launch Program

  • Is specifically designed for SMB data maturity levels and resource constraints.

  • Focuses on quick wins and early value demonstration.

  • Emphasizes knowledge transfer and internal capability building.

  • Leverages our extensive library of SMB-specific accelerators and templates.

  • Integrates business objectives into technical implementation from day one.

  • Is led by founders with exceptional business requirements analysis expertise who excel at translating complex business needs into practical Data solutions.

Why Tenplus?

Trusted AI & Data Consultancy

End-to-end delivery from strategy to production, across AWS, Azure, and GCP.

Databricks & Snowflake Partners

For open, scalable lakehouse and warehouse architectures.

Rapid start

Skilled professionals ready within 1 week, with 88% estimation accuracy for predictable execution.

Global delivery footprint

With local time-zone flexibility and 24/7 support.

Proven track record

5+ years, 100+ projects, 10+ countries, 15+ team members.

We’ve helped them

We've partnered with many household brand names to deliver insights and solutions to their problems with big data.

Happy clients

Don't just take our word for it – our clients frequently stay in touch with us and work with us on future projects that require big data insights.

Federico Bjerrand

I work in agricultural consulting, meaning that we often need to use big and complex datasets to justify expensive investments for our clients. DataAI consultants helped us see the big picture with their visualization tools and expertise.

Anna Love Ricci

As the in-house supplier manager, it's sometimes had to understand which manufacturers work best for our needs. DataAI's data analysis helped us identify where we could save and which manufacturers worked the best for us in the long term.

Free Executive Strategy Session: A Plan Your CFO, CTO, and Team Will All Back

We align use cases to revenue, cost, and risk; pick the right lakehouse/warehouse pattern; and draft a phased delivery plan with milestones, KPIs, and owners. No fluff, just a plan you can run tomorrow.