Orbits, a Toronto and San Francisco-based startup, has closed nearly $2 million in pre-seed funding to scale Bit, an AI household assistant designed to manage the everyday chaos of family life. The round came from Andreessen Horowitz's (a16z) Speedrun fund, N49P, Garage Capital, and angel investors including a team member at Anthropic, the AI safety company.

What Problem Does Bit Actually Solve?

The startup's founders identified a gap that most software companies have ignored: while countless tools exist to simplify work life, almost nothing addresses the complexity of managing a household. Bit acts as a unified digital layer for family operations, consolidating calendars, to-do lists, and communications while handling real-world tasks that typically require manual effort or hiring help.

The AI assistant can browse the web, log into accounts securely, make authorized purchases, book dinner reservations, reschedule appointments, and collect quotes for major home repairs like roof replacements or HVAC systems. It also texts family members reminders and coordinates outside help such as babysitters. The company emphasizes security, encrypting third-party account credentials end-to-end so they are never stored on Orbits' servers.

"There's a booming market of tools to simplify your 9-to-5 and almost nothing for your 5-to-9," said Nomaan Ahmed, chief executive officer and co-founder of Orbits.

Nomaan Ahmed, Chief Executive Officer, Orbits

Why Is a16z Betting on Home Automation Now?

The Speedrun fund's investment signals a strategic shift in how venture capitalists view the next frontier for autonomous AI agents. Consumer AI attention has centered almost entirely on work and productivity tools, leaving household management largely untouched by intelligent automation.

"AI is becoming incredibly capable, but much of the attention so far has focused on work and productivity," said Fareed Mosavat, a partner at a16z Speedrun, framing the household as the next major opportunity for autonomous agents.

Fareed Mosavat, Partner, a16z Speedrun

This bet reflects a broader recognition that as AI models become more capable at reasoning and taking action in the real world, the market opportunity extends far beyond enterprise software and office productivity. Families managing multiple calendars, competing priorities, and household logistics represent a massive addressable market that has been largely ignored by the AI boom.

How to Evaluate AI Household Assistants

• Security and Privacy: Check whether the assistant encrypts account credentials end-to-end and avoids storing sensitive login information on company servers.
• Real-World Task Capability: Assess whether the AI can actually execute tasks like making purchases, booking reservations, and contacting service providers, not just provide information.
• Family Coordination Features: Evaluate whether the tool can consolidate multiple family members' calendars, send reminders, and coordinate external services like childcare or home repairs.

Who Built Orbits and What's Their Track Record?

Orbits was founded by Nomaan Ahmed, who serves as chief executive officer, and Erik Tillberg, the chief technology officer. The pair previously built a consumer platform that grew to more than one million monthly active users and generated nine figures in annual recurring revenue, demonstrating their ability to scale consumer products. Tillberg brings AI research expertise from his time at the University of Toronto, combining practical product experience with technical depth in machine learning.

The funding will allow Orbits to expand beyond its early community of families, scale its infrastructure to handle more users, and hire additional team members. Bit is already available on both the Apple App Store and Google Play, meaning the product is live and accessible to early adopters today.

The investment from a16z's Speedrun fund, alongside backing from established venture firms and Anthropic insiders, suggests confidence that household AI assistants represent a genuine market opportunity. As AI models continue to improve at reasoning, planning, and taking real-world actions, the gap between work automation and home automation may finally begin to close.