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As artificial intelligence evolves beyond passive automation, agentic AI platforms are emerging as the next foundational layer for digital businesses. These systems do not just execute tasks; they observe, decide, and act autonomously across workflows, channels, and tools. From marketing and personalization to operations and developer productivity, agentic AI is redefining how software delivers outcomes rather than features. As enterprises prepare for this shift, here are five agentic AI platforms that are expected to shape adoption and innovation in 2026:
- Adsocial.ai
AdSocial.ai is a visual personalisation platform for D2C brands, designed to help brands deliver truly individualized experiences at scale. Brands using its AI-agent–led visual personalisation have reported 40–60% improvements in conversion funnels and up to 2X revenue growth. The platform uses multimodal AI agents to translate customer signals into adaptive visual experiences across digital touchpoints in real time. By shifting brands away from campaign-heavy execution to autonomous, agent-driven workflows, AdSocial.ai enables scalable, customer-led personalisation without added operational complexity.
Website: https://www.adsocial.ai/ - Fundamento.ai
Fundamento.ai focuses on building autonomous financial and decision-support agents designed to assist businesses with planning, forecasting, and strategic analysis. Its agentic systems continuously ingest internal and external data to surface insights, flag anomalies, and recommend actions in near real time. Rather than static dashboards, Fundamento.ai emphasizes AI-driven decision loops that evolve with business conditions. This makes it especially useful for finance, strategy, and leadership teams navigating complex environments.
Website: https://fundamento.ai/ - Jeeva.ai
Jeeva.ai is developing agentic AI solutions centered on revenue operations and go-to-market efficiency. Its AI agents assist sales and growth teams by autonomously qualifying leads, prioritizing accounts, and recommending next-best actions across the pipeline. By reducing manual CRM work and fragmented decision-making, Jeeva.ai helps teams focus on high-impact interactions. The platform reflects a broader shift toward AI agents acting as active collaborators rather than background tools.
Website: https://www.jeeva.ai/ - Pype.ai
Pype.ai is building agent-driven systems aimed at automating and orchestrating complex workflows across data, analytics, and business operations. Its agents are designed to independently manage multi-step processes, adapt to changing inputs, and coordinate between systems without constant human intervention. This approach reduces operational friction in environments where speed and accuracy are critical. Pype.ai is particularly relevant for organizations scaling data-heavy or process-intensive functions.
Website: https://pypeai.com/ - Composio
Composio provides an agent infrastructure layer that allows developers to connect AI agents with hundreds of tools, APIs, and SaaS products. Instead of building brittle integrations, teams can deploy agents that autonomously execute actions across software ecosystems. This enables faster development of real-world, action-oriented AI applications. As agentic systems become more prevalent, Composio is emerging as a critical backbone for reliable agent-to-tool orchestration.
Website: https://composio.dev/
As agentic AI moves from experimentation to enterprise adoption, platforms like Adsocial.ai, Fundamento.ai, and others highlight a clear shift toward outcome-driven software. In 2026, the competitive advantage will not come from who uses AI, but from who deploys intelligent agents that can reason, act, and continuously improve at scale.
