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Side-by-side compare

Up to 3 solutions, scored on the same value metrics.

ZZesty

Zesty

4.5/5
775F

75F

3.8/5
ROI categorycost reductioncost reduction
Time-to-Value2–4 weeks (~21d)~2-3 months (~60d)
Typical annual TCO$0/yr$0/yr
Starting price$0/yr$0/yr
Implementation feeNoneNone
Seat tiersNot seat-based; pricing follows usage and realized savings.Not seat-based; priced per building / device footprint
Implementation friction2/53/5
Friction meter
Best forPlatform and DevOps teams running production Kubernetes on AWS or Azure; Companies with material EKS/AKS compute and storage spend seeking automated waste elimination; Engineering orgs that want guardrail-based automation instead of manual rightsizing and tuning; Teams that also need AWS or Azure commitment (Savings Plan / Reserved Instance) optimization with lower lock-in riskMulti-site offices, retail, education and hospitality portfolios that want HVAC energy savings without a full controls rip-and-replace.; Facilities teams that prefer an IoT BMS with pre-packaged sequences, wireless sensors and cloud analytics over a traditional BMS project.; Contractors and energy service companies that install and commission building controls themselves rather than subcontracting.; Owners with carbon, sustainability or indoor-air-quality targets who need measurable, verifiable savings.
Not forWorkloads that are not Kubernetes-based (bare VMs, serverless-only estates); Teams that require only self-hosted or air-gapped deployment; Organizations with small cloud spend where a savings-based ROI model is not worth the overhead; Buyers who want published self-serve per-seat pricing and instant online signupIndustrial process control or life-safety systems that need PLC/DCS-grade determinism and certification.; Buyers who want a software-only analytics product with no hardware, wiring or commissioning.; Teams that need a public, self-serve price list and online sign-up; 75F pricing is quoted per project.; Companies wanting to assemble their own controls stack on an open, API-first platform.

Stack fit matrix

SalesforceNot supportedNot supported
AWSNativeNot supported
SnowflakeNot supportedNot supported
HubSpotNot supportedNot supported
Google WorkspaceNot supportedNot supported
Microsoft 365Not supportedNot supported
SAPNot supportedNot supported
SlackNot supportedNot supported
MCP (Model Context Protocol)Not supportedNot supported

Compliance

SOC 2
ISO 27001
GDPR
HIPAA
FedRAMP
ISO 42001
IAPP AIGPnamed staff

Company & support

Who is behind each solution, and how you reach support. “Not listed” means the vendor’s public pages don’t mention a channel, not that it is unavailable.

FoundedNot recordedNot recorded
HeadquartersNot recordedNot recorded
PhoneNot listedPlan not stated
EmailNot listedPlan not stated
Live chatNot listedNot listed
Support portal / ticketsPlan not statedNot listed
Community forumNot listedNot listed
Help centre / docsNot listedPlan not stated
Dedicated account managerNot listedNot listed
In person / on-siteNot listedNot listed
Support hoursNot recordedNot recorded
Response timeNot statedNot stated

AI & MCP readiness

Whether each solution can join your AI stack, and what it asks of you to do so.

MCP connectionreaches AI clientsNot supportedNot supported
AI featuresPredictive analyticsCopilot / assistant; Predictive analytics; Anomaly detection
Model keyNot recordedNot recorded
AI usage auditNot recordedNot recorded

Quadrant view

Where the 2 selected solutions land on the same value plane. Toggle axes to compare on cost, speed, friction, or buyer score.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$1/yr18d29d41d52d63dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & Pricey

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

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