Industries
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
expect full deployment
AWSThe agent-production divide will define the next two years
Enterprise agent programs will shift from isolated experiments to production workflows during the next two years. Companies without deployment and governance capacity will surrender time-to-market.
Sixty-five percent of organizations expect to reach full deployment of agentic AI within the next two years, while fewer than 7% are currently in full production.
AWS
AI and data ARR
CNBCAI-and-data revenue is becoming SaaS’s next growth engine
Over the next 18 months, SaaS vendors will increasingly package agents with proprietary data rather than standalone features. Vendors that operationalize trusted data can capture the emerging AI revenue pool.
Salesforce’s combined AI and data annual recurring revenue reached USD 3.9 billion, more than tripling in one year.
CNBC
expect more business-built solutions
GartnerBusiness-built AI will redraw technology operating models by 2030
By 2030, AI will move more solution development into business teams, requiring shared governance and platform operating models. Leaders can expand delivery capacity without multiplying centralized technology headcount.
Eighty percent of technology executives expect AI to expand technology solutions developed outside centralized IT by 2030.
Gartner
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
