We believe the next decade will be defined by agentic AI systems that autonomously rewire workflows, markets, and entire industries. Our role is to identify and back the exceptional teams building this future.
Electronike Capital is built on a simple conviction: in the next decade, AI-native agentic SaaS will define how B2B companies operate, and the teams capable of harnessing this shift will capture outsized value.
The role of capital is not to guess the next feature, but to recognize the people and technologies that can rewire workflows, markets, and ultimately entire industries. Models and tools will continue to commoditize, but the ability of a founding team to design agentic architectures, align them with domain-specific data, and orchestrate go-to-market in complex B2B environments is rare and deeply non-commoditized.
We evaluate people and teams first: their technical depth, rate of learning, and capacity to build systems that remain ahead of the frontier as the underlying AI stack evolves. We look for teams that think in systems, not features, who design agents around measurable outcomes like sales efficiency, cycle-time compression, and decision quality.
Enterprise software is being rebuilt around intelligent agents rather than static workflows. The timing for this transformation has never been more opportune.
The global AI SaaS market exceeds $100 billion today and is projected to grow more than twenty-fold to roughly $2.9 trillion by the mid-2030s, compounding at close to 38% annually.
Less than 1% of enterprise applications included agentic AI in 2024, but around one-third are expected to do so by 2028. This represents over a thirty-fold increase in adoption in just four years.
Nearly four out of five organizations already report some level of agentic AI experimentation or deployment, highlighting a clear shift from curiosity to committed integration.
Intelligent agents are projected to handle nearly two-thirds of all customer interactions by the end of this decade, fundamentally transforming how businesses operate and serve customers.
This technological inflection is reflected directly in capital markets, with unprecedented investment flowing into AI-native companies.
AI companies attracted more than $100 billion of venture funding in 2024 alone, accounting for roughly one-third of all global venture capital and marking the most capital-intensive year for the sector in the last decade.
Within that total, AI software and agentic platforms drew a growing share of mega-rounds, with investors increasingly concentrating capital into teams that own defensible data, infrastructure, and distribution in B2B workflows.
Even as broader startup funding contracted by double digits, investment into AI surged by more than 60%, underscoring a structural, not cyclical, reallocation of capital.
We invest where three critical vectors intersect, applying rigorous evaluation to identify the teams positioned to capture generational value.
Systems that can autonomously plan, act, and collaborate, going beyond simple automation to true intelligent agency. We evaluate orchestration layers, multi-agent capabilities, and architectural defensibility.
Deep integration into workflows where outcomes directly impact revenue, cost, and risk. We target founders building infrastructure, tools, and vertical systems for the new operating layer of business.
Clear line of sight to ROI with demonstrable impact. Companies deploying agentic AI report average returns above 150%, with a majority expecting to more than double their initial investment.
Data advantages, proprietary orchestration layers, and integration maturity that create lasting competitive moats.
Time-to-value metrics, net revenue retention above 120%, and depth of workflow ownership that indicate product-market fit.
Technical depth, learning velocity, and demonstrated ability to stay ahead of the frontier as AI capabilities evolve.
Clear path to profitability with efficient customer acquisition and expansion economics that support capital-efficient growth.
Market data validates our thesis: companies successfully deploying agentic AI report average return on investment above 150%, with a majority expecting to more than double their initial outlay.
The highest returns are concentrated in sales, operations, and customer service functions, where agentic systems can demonstrably move revenue, reduce costs, and mitigate risk at scale.
Markets now differentiate sharply between incremental software improvements and AI-native systems that deliver transformational outcomes. This divergence creates opportunities for investors who can identify the teams building truly differentiated agentic platforms.
We partner with exceptional founders who think in systems, not features. If you're building agentic AI infrastructure or vertical applications with clear paths to measurable business value, we'd like to hear from you.