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Description
Caddi is an innovative platform that leverages AI to streamline back-office tasks by identifying and automating repetitive activities within the existing tools that your team employs. It accomplishes this by analyzing user activity from various connected systems, which only requires read-only access, to pinpoint frequently executed manual processes, ranking them based on potential time savings and certainty, and highlighting which workflows should be developed. To onboard Caddi, you instruct it similarly to training a new employee: by sharing your screen to demonstrate the job, verbally explaining each step, outlining rules, addressing exceptions, and refining the workflow through conversation. Subsequently, Caddi creates an automated loop that integrates seamlessly with existing tools while also monitoring for any anomalies that may require further attention. The platform uses deterministic code for tasks that require precision, while employing AI for scenarios that involve decision-making, ensuring consistent handling of the same inputs. Every execution is meticulously logged and can be replayed, providing insights into the automation's decisions, the rationale behind those choices, and the permissions utilized. This comprehensive logging not only enhances transparency but also facilitates continuous improvement by allowing users to review and refine the automated processes over time.
Description
StackSpend is an advanced cost management platform leveraging cloud and AI technologies, designed to offer engineering, finance, and FinOps teams a consolidated daily overview of their contemporary AI infrastructure. By establishing read-only connections to a variety of providers such as AWS, Google Cloud, Azure, Snowflake, and others, it seamlessly imports historical billing information and standardizes expenditure across different services. The platform features comprehensive dashboards and exploration tools that dissect costs by various dimensions, including provider, service, model, project, user, team, feature, and customer, thereby aiding teams in analyzing AI COGS, cost per request, and profit margins at the product level. Additionally, it provides insights into budgets and projected spending trends, while its same-day anomaly detection feature identifies unexpected cost spikes triggered by factors such as traffic surges, prompt errors, model adjustments, deployment activities, or specific user actions. Notifications and daily indicators, categorized as green, amber, or red based on spending levels, can be dispatched through communication platforms like Slack, Microsoft Teams, email, or webhooks, ensuring teams remain informed about their spending patterns. Ultimately, StackSpend empowers organizations to maintain a firm grip on their AI expenditures, fostering enhanced financial accountability and strategic decision-making.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Google Cloud Platform
Yes
Slack
Yes
Amazon Web Services (AWS)
No
Anthropic
No
ClickHouse
No
Databricks
No
Dropbox
Yes
Fidelity
Yes
GitHub
No
HubSpot CRM
Yes
Integrations
Google Cloud Platform
Yes
Slack
Yes
Amazon Web Services (AWS)
Yes
Anthropic
Yes
ClickHouse
Yes
Databricks
Yes
Dropbox
No
Fidelity
No
GitHub
Yes
HubSpot CRM
No
Pricing Details
$250 per month
Free Trial
No
Free Version
Yes
Pricing Details
$23 per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Caddi
Founded
2024
Country
United States
Website
www.trycaddi.com
Vendor Details
Company Name
StackSpend
Country
United States
Website
www.stackspend.app/