Hyra Logic
Summary
The typical vacancy analysis workflow is a mess of broker intuition, stale comp sets, and a pitch deck assembled the night before the client call — and it shows. Hyra Logic exists to replace that scramble with a structured, four-step process that goes from a single address to a ranked tenant strategy and client-ready materials before you leave the office.
Enter an address and the tool pulls trade area, asset type, and footprint into a single profile, then ranks tenant categories by fit score and confidence level — with explicit caveats about data quality, not sales copy. You approve the fits you'll stand behind, drop the ones that never made sense, then generate broker, landlord, or developer presentations plus flyers from the approved list. Approved prospects push into an outreach pipeline, and the vendor states CRM sync is available on paid tiers. The ceiling appears quickly for high-volume books: the free entry point and the base paid tier cap analyses per month, so teams running a large portfolio hit the wall and either upgrade or route their less strategic vacancies through the old manual process.
Bottom line: Hyra Logic earns its place on a broker's desk for winning listing pitches on individual vacancies — it breaks down as a production tool for any team running more analyses per month than their paid tier allows, at which point the per-seat and per-analysis limits force a manual overflow process that defeats the purpose.
Pricing Plans
Subscription- Free Tier
- Free to start with limited analyses on the house
Starter
1 seat, 5 analyses/month, 5 presentations/month, share links + PDF export
- Property analysis
- Basic presentations
Pro
5 seats, 25 analyses/month, 40 presentations/month, CRM handoff + CSV import
- Advanced outreach
- Multiple seats
Portfolio
15 seats, 100 analyses/month, unlimited presentations, operations dashboard
- Team operations
- Unlimited materials
View full pricing on hyralogic.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Fit scores paired with confidence ratings and stated data caveats, so you walk into a client meeting with reasoning you can defend rather than a hunch you have to sell around.
- User approval required at the fit stage before anything reaches materials or prospects, which means a misread on tenant category never surfaces in a client deck without you catching it first.
- Presentation variants generated for brokers, landlords, and developers from a single approved analysis, so you are not rebuilding the same deck three times for three different audiences on the same deal.
- Named prospect list tied directly to approved tenant categories, so outreach starts from a short, reasoned list rather than a broad spray that wastes call time on tenants that never fit the asset.
- Pre-development merchandising use case supported explicitly, so developers can show lenders a demand-grounded tenant mix at the capital raise stage rather than a rendering with aspirational brand logos.
Cons
Sign in to edit- Monthly analysis and presentation caps apply at every tier — a brokerage team managing a large portfolio of vacancies hits the ceiling before the month ends, at which point they either pay up a tier or route lower-priority vacancies back through the manual process they were trying to replace.
- No API and no self-hosted option means the workflow cannot be automated, batched, or integrated into an existing data stack — teams that need to run analyses programmatically or pull outputs into internal systems have no path forward and switch to a platform that exposes an API.
- CRM sync is a paid-only feature, so free-tier users building an outreach pipeline from approved prospects must manage that list manually outside the tool, which breaks the 'analysis to pipeline, one motion' value the product promises.
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About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-25T00:17:14.080Z
Best For
Who it's for
- Brokers
- Landlords and owners
- Developers
What it does well
- Analyzing retail or commercial vacancies for tenant suitability
- Generating client-ready broker or owner presentations
- Building targeted outreach lists and pipelines for leasing
- Planning pre-development merchandising and lease-up strategies
Integrations
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Frequently Asked Questions
- Is Hyra Logic free?
- Hyra Logic has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Hyra Logic open source?
- No — Hyra Logic is a closed-source tool. Source code is not publicly available.
Hours Saved & ROI Stories Community
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Hyra Logic takes one input — a property address — and runs it through a four-step workflow: site profiling, tenant fit ranking, materials generation, and outreach pipeline build. The tool reads trade area, asset type, and size into a unified profile, then ranks tenant categories by a fit score paired with a confidence rating and stated data caveats. Every recommendation sits behind a user approval gate before it flows into presentations or prospect lists, so nothing reaches a client without a human sign-off.
The differentiating feature is that the ranked output is explainable, not just a score. The vendor shows fit, confidence, and competition level for each tenant category — the kind of structured reasoning a good analyst would walk you through verbally, surfaced in a format you can put in front of an owner or lender. The presentation layer generates broker, landlord, and developer variants from the same approved analysis, so one address produces materials tailored to whoever is across the table.
The tool fits cleanly into the listing pitch motion for individual vacancies — brokers walking into a client meeting, owners assessing a specific gap in their tenant mix, developers building a ground-floor merchandising story before construction. It breaks down as a team-scale production tool: analysis and presentation counts are capped per month by tier, CRM sync is a paid-only feature, and there is no API and no self-hosted option, which closes off any path to automating the workflow or integrating it into an existing data pipeline. Teams processing high vacancy volume at speed will hit the monthly limits and find themselves managing a manual overflow track alongside the tool.
