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Enterprise SaaS — Agentic AI
wand.ai

The operating system for the agentic workforce.

Wand powers companies to build workforces that combine human professionals and AI agents into a single, coordinated team. Agents operate autonomously, collaborate with humans in a shared workspace, and continuously learn and adapt. SOC2-ready, with on-premise, private cloud, or hosted deployment options.

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Enterprise Deployment — Live

Franklin Templeton deployed Wand's agentic AI across its global investment platform — moving from pilot to fully operational AI systems, with mass deployment of intelligent agents across departments through 2026.

One of the world's largest asset managers. $1.5 trillion AUM. This is not a proof of concept.

Franklin
Templeton
$1.5T AUM
2022
Founded by Rotem Alaluf, headquartered in Silicon Valley, backed by leading U.S. venture capital firms
SOC2
Ready — with on-premise, private cloud, or hosted deployment options for data-sensitive deployments
Built-in
Governance — dashboards, decision tracking, and agent accountability at every stage of operation
Three pillars of the hybrid workforce

Automation. Collaboration. Evolution.

Wand defines a true hybrid workforce across three pillars — directly from how the company describes its own platform.

Pillar 1 — Automation
Agents that operate autonomously
Advanced agents sense operational needs, create systems that drive processes independently, and autonomously execute complex workflows — without waiting for human initiation at each step. They can stand up entire divisions overnight with precision.
Pillar 2 — Collaboration
A shared workspace for humans and agents
A unified environment where AI agents and human professionals work together — building collective intelligence and accelerating projects without clunky handoffs or tool switching. Both operate in the same space with full visibility.
Pillar 3 — Evolution
Agents that build and refine themselves
Agents triage gaps, create new specialized agents on demand, and continuously evolve without human intervention. They refine their own intelligence, validate outputs, and scale autonomously — delivering solutions that get more precise over time.
Platform capabilities

Enterprise-grade agentic AI — with governance built in.

Wand is designed for enterprise scale, with built-in governance and security features that allow organizations to deploy AI with confidence.

Governance & Oversight
Monitor performance, set guardrails, maintain accountability
A centralized hub provides complete visibility over your AI workforce — monitoring agent performance, tracking costs, and setting clear guardrails for budgets, objectives, and autonomy. Every action aligns with enterprise strategy, with a complete audit trail at every stage.
Workflow Automation
End-to-end execution, continuously refined by agents
Tasks are defined by human teams then executed and refined by AI agents — enabling scalable automation that learns and improves with every task. For mature deployments, agents can autonomously manage entire business functions, designing workflows and coordinating execution across teams.
Deployment Flexibility
On-premise, private cloud, or hosted
SOC2-ready with flexible deployment including on-premise — data stays inside your infrastructure when required. Built for organizations in regulated industries and environments where data confidentiality and security controls are non-negotiable.
Enterprise Integration
Across systems, tools, and departments
Agents work across existing enterprise systems and tools, eliminating silos and enabling unified operations. Scales from a single process to full divisions, with agents that learn and adapt as your business evolves.

"AI agents can seamlessly collaborate with human teams and operate at scale in complex, highly regulated environments to achieve transformative results — but only when properly governed, orchestrated, and deployed as a unified agentic workforce."

— Rotem Alaluf, CEO, Wand AI
Company & partnerships

Silicon Valley. Founded 2022.
Enterprise deployments underway.

Wand was founded by Rotem Alaluf, backed by leading U.S. venture capital, with a team that includes talent from DeepMind, Google Brain, and Microsoft Research. Enterprise partnerships include Franklin Templeton — deploying Wand's Autonomous Workforce and Agent Management technologies across its global investment platform — and a multi-year strategic collaboration with Nityo Infotech to bring agentic AI workforces to global enterprises at scale.

Franklin Templeton
Agentic AI at $1.5 trillion scale
Franklin Templeton — one of the world's largest asset managers — entered a strategic partnership with Wand AI to deploy agentic AI across its worldwide investment platform. Not a pilot. Not a proof of concept. Fully operational AI systems, with plans to mass-deploy intelligent agents across departments through 2026. When a firm managing $1.5 trillion in assets chooses a platform, it is not a vendor selection — it is an enterprise infrastructure decision.
Nityo Infotech
Multi-year global enterprise rollout
A multi-year strategic collaboration between Wand AI and Nityo Infotech — a global IT services firm operating in 40+ countries with 31,000+ employees — to empower global enterprises to deploy agentic AI workforces at scale using Wand's patented hybrid workforce model.
Why through The Source AI
Operator-led deployment
I founded The Source AI on a simple premise: the most valuable person in AI adoption is not the one who understands the model best. It's the one who understands the business best and uses the model as a tool. Twenty-five years running businesses taught me things no engineering credential can replicate. I scope Wand.ai deployments against real operating problems — not marketing use cases.
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