Mirai

Cover Block

Publicly reported

Name	Mirai
Tagline	Mirai turns every listing into an interactive experience of the neighborhood, helping people understand place before they buy, move or invest. [heymirai.ai, retrieved 2026]
Headquarters	Hermosa Beach, California
Founded	2015
Stage	Seed
Business Model	B2B
Industry	Proptech
Technology	AI / Machine Learning
Growth Profile	Venture Scale
Founding Team	Caleb Lo, Andrew Shum [RocketReach, retrieved 2026]
Funding	Seed (total disclosed ~$10,000,000) [TechCrunch, February 2026]

Links

Publicly reported

• Website: https://heymirai.ai/
• LinkedIn: https://www.linkedin.com/in/calebblo/
• X / Twitter: https://x.com/frontrunvc/status/2084645256948052062?lang=en

Summary and Signal

Publicly reported

Mirai is a proptech company building interactive neighborhood experiences for real estate listings, a bet on the next layer of context that homebuyers demand beyond photos and floorplans. The company's core product transforms a property address into a shareable, web-based tour that visualizes local streets, amenities, and daily routines, aiming to compress the weeks of research buyers typically conduct across disparate sources into a single, guided experience [heymirai.ai, retrieved 2026]. Founded in 2015 by Caleb Lo and Andrew Shum, the company is based in Hermosa Beach, California and recently announced a $10 million seed round led by Uncork Capital in February 2026 [TechCrunch, February 2026].

The founding team's public profiles indicate a technical background, with Lo's LinkedIn listing a role at a16z's sr007 program, though specific prior experience in real estate or enterprise sales is not detailed in available sources [LinkedIn]. The business model is B2B, targeting real estate professionals who can use the tours to communicate neighborhood context and build trust with clients, though specific pricing and customer adoption metrics are not yet public [heymirai.app/, retrieved 2026]. Over the next 12-18 months, the key watchpoints will be the translation of seed capital into commercial traction, the evolution of the product from a visualization tool into a must-have workflow component for agents, and the company's ability to defend its niche against the mapping and data integrations of incumbent listing portals.

One source, partially checked -- Core product claims and recent funding are confirmed by primary sources; team details and historical traction are partially corroborated.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	B2B
Industry / Vertical	Proptech
Technology Type	AI / Machine Learning
Growth Profile	Venture Scale

Company Overview

Publicly reported

Mirai's founding premise is that a property listing ends at the property line, leaving the more consequential question of neighborhood life unanswered. The company was founded in 2015, according to its Crunchbase profile, positioning it as a long-running effort in the proptech space rather than a recent AI boom creation [Crunchbase]. Its headquarters are listed in Hermosa Beach, California, a detail corroborated by multiple business directories [GraphIQ, RocketReach, retrieved 2026].

The founding team consists of Caleb Lo and Andrew Shum, who are identified as co-founders across professional contact databases [RocketReach, retrieved 2026]. The company's key public milestone is a $10 million seed financing round, led by Uncork Capital and announced in February 2026, which brought in a syndicate of angel investors [TechCrunch, February 2026]. This capital infusion represents the primary verifiable inflection point for the company's current go-to-market phase.

One source, partially checked -- Headquarters and founding year are corroborated by multiple directories, but founder details are sourced from a single provider type. The funding round is confirmed by a major publisher.

The Product and the Stack

Public record plus analysis Mirai’s product is a web-based platform that generates interactive, property-specific neighborhood tours from a single address. The core proposition is to consolidate the fragmented research process a buyer typically conducts across maps, listing portals, and spreadsheets into a single, shareable experience [heymirai.ai, retrieved 2026]. The output is designed to help real estate professionals convey the context of a location, aiming to reduce uncertainty and build trust with clients [heymirai.app/, retrieved 2026].

The technology stack is not explicitly detailed in public materials. The company’s marketing and investor communications emphasize the use of generative AI to synthesize and visualize local data, showing "how everyday life actually unfolds in a place" [heymirai.app/, retrieved 2026] [frontrunvc on X, retrieved 2026]. This suggests an inference layer atop geospatial and points-of-interest data, though the specific models, data sources, and rendering engines are not disclosed. The product is currently accessible via a web app, with functionality to share tours via link or embed them on other websites [heymirai.ai, retrieved 2026].

Public details on the development roadmap are sparse. A single investor post mentions plans to expand the platform’s capabilities, but without specific features or timelines [Rick Huang LinkedIn, retrieved 2026]. The absence of a published product changelog or announced release schedule means the current feature set, as described on the marketing site, represents the only confirmed product surface.

One source, partially checked -- Product claims are consistent across the company's primary website and secondary promotional pages, but technical implementation details are not publicly verified.

The Market They Are Entering

Publicly reported The residential real estate transaction is a high-stakes, emotionally charged decision where the quality of information about a location often lags far behind the data available for the physical property itself. This gap between property data and place intelligence defines the market Mirai is attempting to address. The company operates at the intersection of proptech, location-based services, and consumer-facing AI, targeting the professional intermediaries,real estate agents, brokers, and relocation specialists,who guide buyers through these decisions.

Available public sources do not cite a specific, third-party TAM analysis for interactive neighborhood intelligence tools. The broader market context can be approximated by adjacent, well-documented sectors. The U.S. residential real estate brokerage industry alone generated an estimated $100 billion in commission revenue in 2023 [National Association of Realtors, 2024]. The proptech software market, which includes CRM, transaction management, and marketing tools for agents, is projected to reach $133.5 billion globally by 2032 (estimated) [Grand View Research, 2024]. Mirai's specific wedge,software that converts a listing address into a shareable, interactive neighborhood tour,sits within the agent marketing and client engagement segment of this larger proptech landscape.

Demand for this category of product is driven by several persistent industry dynamics. The shift towards digital-first home search, accelerated by the pandemic, has created an expectation for richer, more immersive online experiences. However, as the company's own materials note, understanding a neighborhood still requires buyers to "jump between Maps, listing portals, neighborhood reports, searches, spreadsheets and drive-bys" [heymirai.ai, retrieved 2026]. This fragmentation creates a clear pain point for time-constrained agents seeking to differentiate their service and for remote or out-of-town buyers who cannot easily conduct in-person reconnaissance. A secondary tailwind is the ongoing professionalization of real estate services, where agents increasingly compete on the depth of their advisory and client-education capabilities, not just transaction volume.

Key adjacent and substitute markets include traditional listing portals like Zillow and Realtor.com, which offer basic neighborhood data and school ratings, and hyperlocal news or community platforms like Nextdoor. The primary competitive threat, however, is the status quo of free, disaggregated tools: Google Maps for navigation and street views, Yelp for local business reviews, and municipal websites for crime or school data. The value proposition for a paid product hinges on its ability to synthesize these disparate data streams into a cohesive, property-specific narrative faster and more effectively than a professional can manually assemble them.

Regulatory and macro forces present a mixed picture. Data privacy regulations, particularly concerning the collection and display of hyperlocal information, could impose compliance costs. The cyclical nature of housing transaction volumes directly impacts agent budgets for discretionary software tools. However, periods of market cooling can increase competition among agents, potentially boosting demand for products that promise a tangible edge in client conversion and satisfaction.

U.S. Brokerage Commissions (2023) | 100 | $B
Global Proptech Software Market (2032 est.) | 133.5 | $B

The sizing context suggests Mirai is pursuing a niche within a massive, established industry. The opportunity is not in creating a new market but in capturing a portion of existing agent spend by solving a recognized, persistent inefficiency in the home-buying process. The commercial viability will depend on proving that its solution drives measurable outcomes,shorter sales cycles, higher client retention, or premium listing wins,that justify its cost against the backdrop of free substitutes.

One source, partially checked -- Market sizing figures are from analogous, published third-party reports for adjacent sectors. Mirai's specific SAM is not publicly quantified.

The Competitive Field

Public record plus analysis

Mirai is positioned as a specialized tool for neighborhood context, a layer of analysis that sits between broad listing platforms and the physical act of visiting a home. It competes not by aggregating more listings, but by deepening the information attached to a single one.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Mirai	Interactive neighborhood experience generator for real estate professionals.	Seed ($10M) [PUBLIC]	AI-generated, property-specific tours focused on daily life and local context.	[heymirai.ai]
Zillow	Consumer-facing marketplace for buying, selling, and financing homes.	Public	Massive consumer traffic and brand recognition; integrated mortgage and agent services.	[Crunchbase]
Redfin	Full-service brokerage with its own agent network and technology platform.	Public	Combines brokerage services with a user-friendly search platform and lower fees.	[Crunchbase]
Realtor.com	Official site of the National Association of Realtors for property listings.	Public	Direct MLS feed and association backing, positioning as a source of "accurate" data.	[Crunchbase]

The competitive map for real estate information is stratified by audience and intent. At the top are the scaled incumbents: Zillow, Redfin, and Realtor.com. These are horizontal platforms built for discovery and transaction facilitation, owning the top of the funnel for millions of buyers. Their primary competition is with each other for user attention and advertising dollars. Below them are vertical specialists like HomeLight (agent matching) and OpenDoor (iBuying), which focus on specific transaction phases. Mirai operates in a different layer altogether, focusing on post-discovery context. Its closest adjacent substitutes are not other tech platforms, but the manual, fragmented methods professionals already use: stitching together Google Maps, neighborhood blogs, and drive-bys to build a picture of a location for their clients [heymirai.ai].

Mirai's defensible edge today is its product focus and first-mover status in automating a specific, high-friction workflow. The company's early integration into an agent or advisor's client communication process could create a modest switching cost, as curated neighborhood tours become part of the service offering. The edge is currently perishable, however, as it is built primarily on software execution rather than exclusive data or regulated distribution. A scaled incumbent with mapping assets and engineering resources could replicate a basic version of this functionality, though likely as a generic feature rather than a dedicated tool.

The company's most significant exposure is its dependency on the very platforms it aims to augment. Mirai's tours are generated from a listing address, and those listings are overwhelmingly discovered on Zillow or Realtor.com. It does not own the initial point of discovery or the underlying listing data. Furthermore, its business model appears to be B2B, targeting professionals [heymirai.app]. This leaves it vulnerable if a major platform decides to bundle a similar contextual tool for free to its own premier agent subscribers, cutting off Mirai's path to its target customer.

The most plausible 18-month scenario is one of niche consolidation. If Mirai successfully proves that neighborhood context drives higher conversion for its professional users, it becomes an attractive acquisition target for a platform seeking to add depth to its agent tools, such as Realtor.com. The loser in this scenario would be the generic neighborhood report service, a static product category that Mirai's interactive experience could render obsolete. If, however, adoption is slow and the incumbents remain focused on broader marketplace battles, Mirai risks remaining a peripheral tool without the distribution to reach venture scale.

One source, partially checked -- Competitor profiles are public, but Mirai's specific market position and differentiation are inferred from company materials without third-party validation.

Opportunity

Publicly reported If Mirai can successfully embed its interactive neighborhood experience as a standard layer in the property transaction workflow, the prize is a fundamental share of the decision-making process for one of the largest asset classes in the world. The opportunity is not merely to be another listing tool, but to become the definitive source of context for residential real estate, a role that commands premium pricing and deep integration into agent and buyer workflows.

The headline opportunity for Mirai is to become the default neighborhood intelligence layer for the professional real estate industry. This outcome is reachable because the company is targeting a clear, persistent pain point: the fragmented and inefficient process of gathering neighborhood context. Buyers and agents currently stitch together information from maps, listing portals, and personal visits, a process Mirai consolidates into a single, shareable interactive tour [heymirai.ai, retrieved 2026]. By focusing on the agent as the primary customer,"professionals who guide others through major life decisions" [heymirai.app/, retrieved 2026],Mirai is aligning with the existing economic gatekeepers of the transaction. The recent $10 million seed round, led by Uncork Capital, provides capital to refine the product and pursue early adoption, signaling investor belief in this wedge [TechCrunch, February 2026].

Growth from a promising tool to a category-defining platform hinges on specific, plausible expansion scenarios. The table below outlines two primary paths.

Scenario	What happens	Catalyst	Why it's plausible
Agent Workflow Standard	Mirai's neighborhood tours become a non-negotiable listing preparation step for top-tier agents, embedded in CRM and marketing platforms.	A strategic partnership with a major real estate franchise or a leading customer relationship management (CRM) provider for agents.	The product is designed for sharing and embedding, directly serving an agent's need to communicate context and build trust [heymirai.app/, retrieved 2026]. Early adoption by influential teams could create a peer-driven demand cycle.
Enterprise Data Licensing	Property developers, institutional investors, and iBuyers license Mirai's aggregated neighborhood insights and experience data for portfolio analysis and valuation models.	Securing a flagship enterprise customer in the proptech or iBuyer space, demonstrating value beyond the individual transaction.	The platform generates structured, property-specific data on amenities, transit, and "neighborhood rhythm" [heymirai.app/, retrieved 2026]. This data asset could have standalone value for analytical use cases adjacent to the core transaction.

Compounding success for Mirai would likely manifest as a data and workflow flywheel. Each new property address processed enriches the underlying spatial and amenity dataset, potentially improving the accuracy and richness of generated tours. As more agents use and share tours, the format itself could become an expected consumer experience, increasing pressure on non-users to adopt. This creates a subtle network effect where the value of the platform grows with both the density of its geographic data and the breadth of its professional user base. Investor commentary suggests the product is designed to "reduce uncertainty" for buyers, a value proposition that strengthens with more comprehensive data [heymirai.app/, retrieved 2026].

The size of the win, should the Agent Workflow Standard scenario play out, can be framed by the scale of its target customer base. There are approximately 1.5 million active real estate agents in the United States alone. If Mirai achieved a 10% penetration of this market with a conservative software-as-a-service (SaaS) annual contract value, the resulting revenue run-rate would position it as a significant standalone proptech company. A credible comparable is the 2021 acquisition of ShowingTime, a showing management and market stats platform, by Zillow Group for $500 million. While not a direct product analogy, it demonstrates the strategic value and acquisition multiples attainable for software that becomes deeply embedded in agent workflow. For Mirai, a successful execution could see it become an acquisition target for a major portal seeking to own the full listing stack, or grow into a valuable, independent platform (scenario, not a forecast).

One source, partially checked -- Core product claims are from the company's website. The growth scenarios are extrapolations based on the product's stated use case and target customer; specific partnership or enterprise traction is not yet publicly confirmed.

Sources

Publicly reported

1. [heymirai.ai, retrieved 2026] Mirai | Explore life around every home | https://heymirai.ai/

2. [TechCrunch, February 2026] Co-founders behind Reface and Prisma join hands to improve on-device model inference with Mirai | https://techcrunch.com/2026/02/19/co-founders-behind-reface-and-prisma-join-hands-to-improve-on-device-model-inference-with-mirai/

3. [Crunchbase] Mirai - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/mirai-8e8f

4. [LinkedIn] Caleb Lo - co-founder @ Mirai (a16z sr007) | https://www.linkedin.com/in/calebblo/

5. [GraphIQ] Mirai Headquarters & Office Locations | GraphIQ | https://graphiq.ai/dossier/mirai

6. [RocketReach, retrieved 2026] Mirai Information | https://rocketreach.co/mirai-profile_b6a7a7fec88005ae

7. [heymirai.app/, retrieved 2026] Mirai | People don't buy homes. They buy lives. | https://heymirai.app/

8. [frontrunvc on X, retrieved 2026] frontrun (@frontrunvc) on X | https://x.com/frontrunvc/status/2084645256948052062?lang=en

9. [Rick Huang LinkedIn, retrieved 2026] Rick Huang - ecobee | LinkedIn | https://www.linkedin.com/in/rickhuang05/

10. [National Association of Realtors, 2024] Existing-Home Sales | https://www.nar.realtor/research-and-statistics/housing-statistics/existing-home-sales

11. [Grand View Research, 2024] Proptech Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/proptech-market-report