EkoheCapabilities
Technology
Partnering with startups and established tech companies to develop software, integrate AI, and make sense of their data
Tech teams often face pressure to deliver faster, adopt AI, and scale infrastructure, without losing focus on their core product From MVP to enterprise-grade platforms, technology companies need trusted partners who can accelerate delivery, fill capability gaps, and bring AI and data to life
We help by providing flexible, expert support across product strategy, engineering, AI integration, and data infrastructure, so you can move quickly and build with confidence
Future trends
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AI Disruption Market
The AI disruption market in technology is projected to grow from $206.6B in 2025 to $1.5T by 2030, a 40% CAGR driven by generative AI, automation, and next-gen data infrastructure.
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Tech Giants’ AI Investments
Microsoft, Alphabet, Amazon, and Meta plan to invest $320B in AI in 2025 fueling the race to dominate AI innovation.
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AI Workforce by 2025
By the end of 2025, over 97M people will work in the global AI ecosystem, powering deployment, integration, and scaling across industries
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AI Adoption for Efficiency & Scalability
35% of tech firms already use AI to counter labor shortages, accelerate software delivery, and scale infrastructure without sacrificing product focus
Our use cases
We offer fast, testable MVP development for early-stage products—validated with real user data and ready to evolve.
We can co-develop your platform or application—adding velocity and depth across the full stack with seamless collaboration.
We know how to embed AI into your workflows—from chat assistants to recommendation engines—aligned with real user needs and outcomes.
We provide robust data systems that enable clean ingestion, transformation, and real-time analysis across your platforms.
We can build internal-facing agents to automate operations like reporting, research summarization, and ticket triage—reducing manual load.
We provide high-performance, secure infrastructure to support growth—built with modern deployment practices and compliance in mind.
AI-Curated Insights
Capabilities
Product strategy, Design Thinking & Innovation
Shaping product vision and strategy through user-centric innovation
Machine Learning Model Development
Building and optimizing models tailored to specific business needs, enabling data-driven decision-making
Data Engineering
Structuring and optimizing databases to ensure efficiency, scalability, and reliability for data-intensive applications
AWS, Google Cloud, OVHCloud & Aliyun infrastructure deployments
Designing and deploying scalable cloud solutions across leading cloud providers