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Side-by-side compare

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

DoiT logoDoiT

DoiT

4.2/5
775F

75F

3.8/5
ROI categorycost reductioncost reduction
Time-to-Value~28 days average implementation (~28d)~2-3 months (~60d)
Typical annual TCO$0/yr$0/yr
Starting price$0/yr$0/yr
Implementation feeNoneNone
Seat tiersNo published seat tiers; free Essentials tier; PerfectScale community tier covers up to 300 monthly vCPUs.Not seat-based; priced per building / device footprint
Implementation friction2/53/5
Friction meter
Best forFinOps and platform engineering teams managing multi-cloud spend across AWS, Google Cloud and Azure; Companies that want AI/LLM token cost attributed per customer, feature and agent; Teams optimizing Kubernetes, Snowflake, Databricks or BigQuery workloads; Enterprises automating Savings Plans, CUDs and reservations with risk controls; Organizations that want senior cloud engineers (FDEs) embedded, not just a dashboardMulti-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 forSmall teams with little or no cloud spend; Buyers who require a published price list and a fully self-serve purchase; Companies unwilling to grant read-only access to cloud billing and usage data; Teams wanting a narrow single-purpose tool rather than cross-cloud FinOps scopeIndustrial 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
SnowflakeNativeNot supported
HubSpotNot supportedNot supported
Google WorkspaceNot supportedNot supported
Microsoft 365IntegrationNot supported
SAPNot supportedNot supported
SlackNativeNot supported
MCP (Model Context Protocol)Custom buildNot 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.

Founded2011 (15 yrs)Not 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 / docsAll plansPlan not stated
Dedicated account managerEnterprise onlyNot 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 clientsCustom buildNot supported
AI featuresCopilot / assistant; Agentic workflows; Anomaly detectionCopilot / 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

Implementation friction × Verified buyer score

1.9/52.2/52.5/52.8/53.1/54.3/54.1/54.0/53.9/53.7/5Friction ← betterBuyer score better →Loved & EasyLoved & HeavyRisky & EasyRisky & Heavy

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

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