Home / Compare / Metrikus vs Willow
Metrikus vs Willow
Two AI-first building data platforms that sit above systems an owner already runs (sensors, occupancy, BMS) and add AI insights and a conversational assistant across a portfolio: Metrikus aims at workplace and real estate teams (occupancy, space, indoor air); Willow aims at operations teams (fault detection, diagnostics, autonomous control). Like-for-like as building-data layers, not in primary use. Vendor-published facts only; desk research, not tested, no winner.
In short: Metrikus (Building intelligence & workplace data; no public prices (quote / sales)) vs Willow (Building operations AI; no public prices (quote / sales)). Facts last checked Oct 17, 2026. No winner declared; not tested.
DESK RESEARCH, NOT TESTED. Compiled from vendors' public websites (accessed Oct 17, 2026). Vendor claims are not verified by Means & Methods Lab. No scores or rankings.
Side by side
| Sheet row | Metrikus | Willow |
|---|---|---|
| Category | Building intelligence & workplace data | Building operations AI |
| AI role (our label) | AI-first | AI-first |
| What it does | Building intelligence platform that unifies 100+ data sets (occupancy, booking, IAQ, BMS and more) and layers AI-driven plain-language insights: what changed, why it matters, what to do next, plus natural-language questions and periodic space-recommendation reports. Hardware-agnostic; Microsoft partnership for Azure-based AI chat and insights. Vendor says most customers ingest live data within two weeks and full portfolio onboarding typically takes four to eight weeks; ISO 27001 and GDPR cited. Case claims include a 25% energy reduction across seven sites and a £500k lease avoided through utilisation evidence (vendor-published case figures, not verified). Re-read Oct 17, 2026: integrations named include Cisco, Poly, Logitech, VergeSense, PointGrab and Butlr; custom connectors and a public API for building data; it says it sits above sensors, booking systems and the BMS rather than replacing them, and adds a case figure of data consolidation cut from 14 days to 2 hours (vendor claim). | "Operational AI" for buildings and infrastructure: unifies facility data (sensors, HVAC, occupancy) into a digital twin and knowledge graph, detects faults across systems with root-cause diagnostics and multi-dimensional impact scores (cost, energy, comfort, risk), Willow Copilot for asset history and recommended actions, and Active Control for autonomous response. Vendor cites 25% lower maintenance costs and 20% less downtime for critical systems such as refrigeration (vendor claims, not verified). Re-read Oct 17, 2026: platform pages listed are Willow Copilot, Knowledge Graph, Digital Twin and Activate Packs (data connectors and AI skills); partners listed are Microsoft, Carahsoft and HPE; the homepage adds a 7% reduction in carbon emissions claim (vendor claim). |
| Who it's for | Enterprise workplace, real estate and facilities teams managing multi-building portfolios. | Owners and facilities teams in higher education, healthcare, retail, aviation, and more. |
| Pricing (as publicly stated) | No public prices found (checked Oct 16, 2026): the vendor site has no pricing or plans link in its navigation or footer, and /pricing and /plans return a not-found page (metrikus.io/pricing still not found Oct 17, 2026). The site's calls to action include "Book a demo". Confirm current pricing with the vendor. | No public prices found (checked Oct 16, 2026): the vendor site has no pricing or plans link in its navigation or footer, and /pricing and /plans return a not-found page (willowinc.com/pricing still not found Oct 17, 2026). The site's calls to action include "Get a demo". Confirm current pricing with the vendor. |
| Test status | Not tested. No scores. | Not tested. No scores. |
| Vendor links | ||
| Sources |
Facts last checked: Oct 17, 2026. Prices change; check the vendor page before relying on them.
Where the vendor descriptions differ
- Scope: both homepages (re-read Oct 17, 2026) describe unifying data from systems a building already has and layering AI on top, for multi-building portfolios. Metrikus says it is built for heads of workplace and real estate; Willow says it is built for operations teams and names education, airports and healthcare as solutions. Read this as a comparison of the data layer, not of two products doing the same daily job.
- Data unified: Metrikus lists 100+ native integrations spanning occupancy, booking, IAQ and BMS, naming Cisco, Poly, Logitech, VergeSense, PointGrab and Butlr; it says custom connectors are built "in sprints, not quarters" and offers a public API for building data. Willow says it brings facility data, from sensors and HVAC to occupancy metrics, into a digital twin and a knowledge graph it calls the world's most complete buildings ontology (vendor claim), with Activate Packs described as data connectors and AI skills.
- AI layer: Metrikus pairs every chart with a plain-language insight (what changed, why it matters, what to do next), answers natural-language questions and emails periodic space-recommendation reports; it says the AI is Azure-based through a Microsoft partnership. Willow lists Willow Copilot (asset history, fault context and recommended actions on demand), cross-system fault detection, automated root-cause diagnostics and impact scores in cost, energy, comfort and risk.
- Acting on the data: Willow lists Active Control for autonomous response and says it can control systems such as HVAC using occupancy data. Metrikus says it sits above sensors, booking systems and the BMS to unify and interpret data, not replace them; its homepage does not describe controlling equipment.
- Setup and security: Metrikus says most customers ingest live data within two weeks of kickoff and full portfolio onboarding typically takes four to eight weeks, is hardware agnostic, and cites ISO 27001 and GDPR (vendor statements). Willow's homepage gives no onboarding timeline or certification; it lists Microsoft, Carahsoft (public sector) and HPE as partners.
- Claims (vendor statements, not verified): Metrikus case figures include a 25% energy reduction across seven sites, a £500k lease avoided through utilisation evidence, and data consolidation cut from 14 days to 2 hours. Willow claims a 25% reduction in maintenance costs, 20% less downtime for critical systems such as refrigeration and a 7% reduction in carbon emissions. Neither page states a measurement method.
- Pricing: neither publishes prices. Both /pricing pages returned not found on Oct 17, 2026; Metrikus routes to Book a demo (a 30-minute demo on your own portfolio) and Willow to Get a demo.
Paraphrased from the sources listed above. Vendor claims are reported as claims.
What we can't tell you yet
Which tool is better for your work. That needs testing on the same package with a verified answer key. Planned measures for this comparison:
- Which BMS protocols and vendors each reads directly versus through a partner
- Whether Metrikus insights flag equipment faults or only space, occupancy and air-quality patterns
- How each takes in handover data from a GC (asset tags, O&M manuals, warranty dates)
See the methodology and leaderboard status.
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