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Top Kalepa Alternatives, Competitors & Similar Software

Founded 2017

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Mona, Klardata and Edgecom Energy. These Kalepa competitors have raised $41.9M and together serve more than 1K customers and employ over 536 team members.

Compare Kalepa with Mona
1Mona logo
Mona

AI & Machine Learning Operationalization (MLOps) Software

Mona is a SaaS monitoring platform for Data and AI driven systems

Revenue
$5M
Customers
-
Year founded
2018
Funding
$3.9M
Team size
6
Location
United States
Compare Kalepa with Klardata
2Klardata logo
Klardata

AI & Machine Learning Operationalization (MLOps) Software

Business intelligence & analytics for startups

Revenue
$5M
Customers
-
Year founded
2016
Funding
-
Team size
1
Location
United States
Compare Kalepa with Edgecom Energy
3Edgecom Energy logo
Edgecom Energy

AI & Machine Learning Operationalization (MLOps) Software

Turn costs into savings, data into insights, and your facility into a sustainable powerhouse with all-in-one energy management software.

Revenue
$5M
Customers
-
Year founded
2016
Funding
-
Team size
41
Location
Canada
Compare Kalepa with Mona
4Mona logo
Mona

AI & Machine Learning Operationalization (MLOps) Software

Mona is a SaaS monitoring platform for Data and AI driven systems

Revenue
$5M
Customers
-
Year founded
2018
Funding
$3.9M
Team size
6
Location
United States
Compare Kalepa with Mona
5Mona logo
Mona

AI & Machine Learning Operationalization (MLOps) Software

Mona is a SaaS monitoring platform for Data and AI driven systems

Revenue
$5M
Customers
-
Year founded
2018
Funding
$3.9M
Team size
6
Location
United States
Compare Kalepa with Mona
6Mona logo
Mona

AI & Machine Learning Operationalization (MLOps) Software

Mona is a SaaS monitoring platform for Data and AI driven systems

Revenue
$5M
Customers
-
Year founded
2018
Funding
$3.9M
Team size
6
Location
United States
Compare Kalepa with Nebulytics
7Nebulytics logo
Nebulytics

AI & Machine Learning Operationalization (MLOps) Software

A powerful SaaS platform engineered to provide our clients a secure,flexible & scalable service upon which to conduct their daily operations

Revenue
$5M
Customers
-
Year founded
2013
Funding
-
Team size
1
Location
United Kingdom
Compare Kalepa with Arroyo
8Arroyo logo
Arroyo

AI & Machine Learning Operationalization (MLOps) Software

Cloud-native stream processing

Revenue
$5M
Customers
-
Year founded
2022
Funding
-
Team size
2
Location
United States
Compare Kalepa with Portkey, Inc
9Portkey, Inc logo
Portkey, Inc

AI & Machine Learning Operationalization (MLOps) Software

Portkey makes productionizing your AI app a breeze: - AI Gateway: Ensure app reliability with load balancing and automated fallbacks and manage all AI providers with one unified API. - Observability: Log your AI app in real-time and monitor key metrics, making debugging a breeze. - Prompt Management: Easily test, manage, version, and deploy prompts across all AI providers. - Privacy & Compliance: Keep data anonymous and stay compliant with SOC 2, GDPR, and ISO.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
13
Location
United States
Compare Kalepa with Furious Corp
10Furious Corp logo
Furious Corp

AI & Machine Learning Operationalization (MLOps) Software

Developer of advertising technology platform designed to maximize advertising revenue and efficiently manage inventory across all products and platforms. The company's Prophet is a horizontal SaaS platform designed to automate ingestion and normalization of enterprise data into a common structure, and is intended to enable enterprises to increase advertisement revenue by 10% in 90 days.

Revenue
$5M
Customers
-
Year founded
2014
Funding
$2M
Team size
8
Location
United States
Compare Kalepa with BrainKey
11BrainKey logo
BrainKey

AI & Machine Learning Operationalization (MLOps) Software

Brain Longevity: We quantify brain health

Revenue
$5M
Customers
-
Year founded
2018
Funding
-
Team size
11
Location
United States
Compare Kalepa with TrackJS
12TrackJS logo
TrackJS

AI & Machine Learning Operationalization (MLOps) Software

Easily Find and Reproduce JavaScript Errors.

Revenue
$5M
Customers
1K
Year founded
2013
Funding
-
Team size
3
Location
United States
Compare Kalepa with Perxtech
13Perxtech logo
Perxtech

AI & Machine Learning Operationalization (MLOps) Software

Perx Technologies is a interactive Lifestyle Marketing SaaS platform

Revenue
$5M
Customers
33
Year founded
2011
Funding
$13.3M
Team size
56
Location
Singapore
Compare Kalepa with Socially Determined
14Socially Determined logo
Socially Determined

AI & Machine Learning Operationalization (MLOps) Software

Developer of healthcare technology designed to measure SDOH (Social Determinants of Health) in patients. The company's platform a secure, cloud-based platform that manages data fusion, analytics and visualizations of community and individual SDOH risk, allowing organizations to prioritize and match targeted social interventions to the specific needs of socially and clinically complex patients.

Revenue
$5M
Customers
-
Year founded
2017
Funding
$11.1M
Team size
49
Location
United States
Compare Kalepa with Portkey, Inc
19Portkey, Inc logo
Portkey, Inc

AI & Machine Learning Operationalization (MLOps) Software

Portkey makes productionizing your AI app a breeze: - AI Gateway: Ensure app reliability with load balancing and automated fallbacks and manage all AI providers with one unified API. - Observability: Log your AI app in real-time and monitor key metrics, making debugging a breeze. - Prompt Management: Easily test, manage, version, and deploy prompts across all AI providers. - Privacy & Compliance: Keep data anonymous and stay compliant with SOC 2, GDPR, and ISO.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
13
Location
United States
Compare Kalepa with Numbrz Inc
20Numbrz Inc logo
Numbrz Inc

AI & Machine Learning Operationalization (MLOps) Software

NUMBRZ is a financial modeling platform that automates work traditionally done in spreadsheets. The ease of use of our no-code UI and fully visual macros allows subject matter experts build sophisticated models that are fully automated.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
6
Location
United States