Got It

Natural language understanding and automation solutions

Burlingame, California, United States

About Got It

Got-it.ai specializes in Natural Language Understanding (NLU) and automation solutions for businesses. Their technology utilizes advanced NLU models, trained on extensive datasets, to provide accurate language processing capabilities. The company targets large enterprises and service desks that need to automate customer service tasks. By integrating their AI assistants into platforms like DialogFlow and Slack, Got-it.ai helps businesses automate both simple and complex tasks, improving efficiency and reducing operational costs. They operate on a B2B model, offering their services through a low-code cloud platform, making it easy for clients to implement. Got-it.ai aims to enhance productivity and cut costs by minimizing the need for human intervention in customer interactions.

Burlingame, CaliforniaHeadquarters
2012Year Founded
$33.5MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
51-200Employees

Risks

High competition from established AI companies like OpenAI's ChatGPT.
Dependence on third-party platforms like NVIDIA may pose partnership risks.
Rapid AI advancements could make current solutions obsolete without continuous innovation.

Differentiation

Got It AI offers rapid deployment of conversational AI, reducing setup time significantly.
Their AutoFlows™ technology autonomously discovers dialog paths, enhancing automation efficiency.
Integration with multiple NLU/Dialog Managers provides flexibility in deployment options.

Upsides

Partnership with NVIDIA enhances scalability and robustness of AI infrastructure.
Agent Copilot improves customer experience with advanced AI models and hallucination guardrails.
Truth Checker increases trust by addressing AI hallucinations in enterprise applications.

Funding

Total raised$33.53 M
Latest valuation$60.00 M
StageEARLY_VC
SERIES B
6/30/2020
$10
$50.00 M
ANGEL
12/31/2012
N/A
$1.50 M
GRANT
4/30/2012
N/A