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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 Great Question, Numbrz Inc and Empirical Health. These Kalepa competitors have raised $52.9M and together serve more than - customers and employ over 268 team members.

Compare Kalepa with Numbrz Inc
2Numbrz 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
Compare Kalepa with Smartschool
4Smartschool logo
Smartschool

AI & Machine Learning Operationalization (MLOps) Software

Smartschool is an AI math tutor for K–12 schools and districts. It uses guided questioning to help students solve math problems and build confidence.

Revenue
$5M
Customers
-
Year founded
2022
Funding
-
Team size
5
Location
United States
Compare Kalepa with Sidis Health
6Sidis Health logo
Sidis Health

AI & Machine Learning Operationalization (MLOps) Software

Sidis Health is an Enterprise SaaS 2.0+AI cloud platform that enables autism service companies to scale using enterprise process automation and workflow management enabled by artificial intelligence and complete clinical and operational integration. This allows the organization to rapidly grow revenue-generating locations and services while significantly reducing the related operational costs and increasing cash flow velocity on claims. The organization shifts from supporting all services manually using software to monitoring the software for exceptions and targeting resources at those areas until the AI learns how to continue automated handling of those exceptions. Care quality is able to be tracked at the metadata level by fully integrating each organization's unique curriculum and treatment plans into Sidis Health, vastly increasing transparency into treatment progress and the ability to continue receiving re-authorizations from insurance payers and utilizing the data collected t

Revenue
$5M
Customers
-
Year founded
2019
Funding
$1.5M
Team size
6
Location
United States
Compare Kalepa with LearnQ Inc.
7LearnQ Inc. logo
LearnQ Inc.

AI & Machine Learning Operationalization (MLOps) Software

The #1 AI Tool For Digital SAT Being Used By Lakhs Of Users & Educators From 139+ Countries. It Is A full-stack AI Platform For All The Digital SAT Prep Requirements.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
16
Location
United States
Compare Kalepa with LearnQ Inc.
8LearnQ Inc. logo
LearnQ Inc.

AI & Machine Learning Operationalization (MLOps) Software

The #1 AI Tool For Digital SAT Being Used By Lakhs Of Users & Educators From 139+ Countries. It Is A full-stack AI Platform For All The Digital SAT Prep Requirements.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
16
Location
United States
Compare Kalepa with Letterdrop
9Letterdrop logo
Letterdrop

AI & Machine Learning Operationalization (MLOps) Software

Identify content that's driving revenue. Create more of it to grow…

Revenue
$5M
Customers
-
Year founded
2020
Funding
-
Team size
23
Location
United States
Compare Kalepa with Prodeology
10Prodeology logo
Prodeology

AI & Machine Learning Operationalization (MLOps) Software

Prodeology is the ultimate decision-making tool for product managers. We offer a completely free, all-in-one product management SaaS platform, enabling both productivity and data analytics capabilities in a single place.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
-
Location
Malta
Compare Kalepa with Cradle
11Cradle logo
Cradle

AI & Machine Learning Operationalization (MLOps) Software

Proteins — the building blocks of life — can be tricky to experiment with in the lab. They can become unstable at high temperatures, or may not “fit” correctly onto another chemical that a scientist is trying to study. In an ideal world, researchers would be able to design the correct proteins for their experiments like puzzle pieces that snap neatly into place. That's where Cradle comes in. The company boasts an AI program that it claims can allow any scientist to make a desired protein, theoretically paving the way for advancements in vaccines, antibody treatments, and other therapeutics.

Revenue
$5M
Customers
-
Year founded
2021
Funding
$29.9M
Team size
57
Location
Netherlands
Compare Kalepa with Sidis Health
13Sidis Health logo
Sidis Health

AI & Machine Learning Operationalization (MLOps) Software

Sidis Health is an Enterprise SaaS 2.0+AI cloud platform that enables autism service companies to scale using enterprise process automation and workflow management enabled by artificial intelligence and complete clinical and operational integration. This allows the organization to rapidly grow revenue-generating locations and services while significantly reducing the related operational costs and increasing cash flow velocity on claims. The organization shifts from supporting all services manually using software to monitoring the software for exceptions and targeting resources at those areas until the AI learns how to continue automated handling of those exceptions. Care quality is able to be tracked at the metadata level by fully integrating each organization's unique curriculum and treatment plans into Sidis Health, vastly increasing transparency into treatment progress and the ability to continue receiving re-authorizations from insurance payers and utilizing the data collected t

Revenue
$5M
Customers
-
Year founded
2019
Funding
$1.5M
Team size
6
Location
United States
Compare Kalepa with Sidis Health
14Sidis Health logo
Sidis Health

AI & Machine Learning Operationalization (MLOps) Software

Sidis Health is an Enterprise SaaS 2.0+AI cloud platform that enables autism service companies to scale using enterprise process automation and workflow management enabled by artificial intelligence and complete clinical and operational integration. This allows the organization to rapidly grow revenue-generating locations and services while significantly reducing the related operational costs and increasing cash flow velocity on claims. The organization shifts from supporting all services manually using software to monitoring the software for exceptions and targeting resources at those areas until the AI learns how to continue automated handling of those exceptions. Care quality is able to be tracked at the metadata level by fully integrating each organization's unique curriculum and treatment plans into Sidis Health, vastly increasing transparency into treatment progress and the ability to continue receiving re-authorizations from insurance payers and utilizing the data collected t

Revenue
$5M
Customers
-
Year founded
2019
Funding
$1.5M
Team size
6
Location
United States
Compare Kalepa with Echoes HQ
15Echoes HQ logo
Echoes HQ

AI & Machine Learning Operationalization (MLOps) Software

Measure and communicate engineering activity

Revenue
$5M
Customers
-
Year founded
2020
Funding
-
Team size
4
Location
Netherlands
Compare Kalepa with i-Genie.ai
16i-Genie.ai logo
i-Genie.ai

AI & Machine Learning Operationalization (MLOps) Software

i-Genie's AI consumer insights platform empowers leading brands and retailers like Kenvue, Unilever, Bayer, Clorox and Coca-Cola to identify the ‘Next Big Thing’ - faster, cheaper AND better. The world today is inundated with data, and yet insights are as hard as ever to distill from all the noise. Consumers are constantly talking about you, but not necessarily to you. i-Genie synthesizes billions of searches, social and video posts, ratings and reviews and market data into intuitive data dashboards wrapped with Presto, a GenAI copilot that lets you ask any question and ... Presto, you have the answer. With i-Genie, executives, analysts and insights professionals can say to their internal stakeholders "I have the answers. What is your question?" i-Genie empowers brands and retailers: 1. Spot product, ingredient and benefit trends 4-6 months earlier 2. Monitor Brand Health continuously, cost-effectively and in time to react 3. Benchmark product performance vs competition at SKU level and by retailer 4. Identify, qualify and size breakthrough innovation ideas, increasing product success rates and reducing innovation cycles from 12-18 months to 2-3 weeks. 5. All in an all-access AI data platform with data dashboards, robust data exports, and easy to use GenAI copilots More powerful and detailed data from true voice of the customer. Faster decision cycles. Less expensive than surveys, focus groups and last century techniques. Unlimited seats and access to democratize insights across the org. i-Genie is AI - Augmented Intelligence - democratizing powerful consumer insights to enable brands and retailers to identify their “Next Big Thing.”

Revenue
$5M
Customers
-
Year founded
2022
Funding
$18.6M
Team size
23
Location
United States
Compare Kalepa with Best In Grow
17Best In Grow logo
Best In Grow

AI & Machine Learning Operationalization (MLOps) Software

Provider of a dispensary management tool designed to empower and educate cannabis retail employees. The company's tool facilitates to optimize day-to-day dispensary operations and communication channels, collect actionable data on marijuana-infused products from consumers, empower brands to better understand purchasing behaviors and optimize product development, enabling customers to get the information they need to make informed purchasing decisions.

Revenue
$5M
Customers
-
Year founded
2018
Funding
-
Team size
12
Location
United States
Compare Kalepa with Arroyo
18Arroyo 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 B2Brain
20B2Brain logo
B2Brain

AI & Machine Learning Operationalization (MLOps) Software

B2Brain enables inside sales and account management teams to improve conversion with contextual account intelligence. SDRs and Sales Reps spend over 40% of their time researching target accounts for account intelligence. Often, the most interesting insights are lost because of a missed search result! Due to the time consuming nature of these searches, people substitute quality for quantity, or skip doing research on all their accounts. These leads to unsuccessful outreach, missed quotas and frustrated sales teams! With B2Brain.com, get account intels delivered right within your sales workflow. Frustrating manual account research is a thing of the past! Using B2Brain, SDRs and AEs get contextual intelligence on their target accounts, customized for their value proposition, right within their CRM or SEP. B2Brain crawls all public data about your target accounts, identifies relevant insights indicating positive intent signals, and brings them up in your sales workflows. Integrations: Salesforce CRM, Outreach.io, Salesloft.com, Slack.com, HubSpot CRM, Zoho CRM, Freshworks CRM

Revenue
$5M
Customers
-
Year founded
2020
Funding
-
Team size
14
Location
United States