WorkHack lands $1.5m funding round as it builds the tech layer enabling businesses to generate the best outcomes from wide scale generative AI adoption
OpenAI’s ChatGPT has taken the world by storm since its release in November 2022 and companies have been racing to adopt this in some shape or form in their business processes. Helping these companies embrace the opportunity, WorkHack is today announcing a $1.5M funding round to develop its AI tech layer which allows businesses to deploy safe, thoughtful, and responsible AI functions.
The funding round was co-led by Together Fund along with Nexus Venture Partners, and also saw participation from The New Normal Fund led by Allison Pickens along with marquee angel investors. The founder of WorkHack, Akshat Tyagi, was an early stage user of Open AIs original GPT3 model in 2021 and has seen first-hand the development of various large language models (LLMs) since. Despite the widespread interest and adoption of the technology its direct commercial use cases are yet to go beyond copywriting and search chatbots. Moreover, LLMs remain a black box of unknowns for companies to deploy for serious business applications.
In recognising the gulf between the technology and business applications, WorkHack has been building tools that allow companies to deploy safe, thoughtful and responsible AI without having to build AI models of their own. Gartner suggests that Responsible AI can enable the right outcomes by resolving dilemmas rooted in delivering value versus tolerating risks. Responsible AI is an umbrella term for aspects of making appropriate business and ethical choices when adopting AI, including business and societal value, risk, trust, transparency, fairness, bias mitigation, explainability, accountability, safety, privacy and regulatory compliance. Responsible AI will take 5 to 10 years to reach mainstream adoption but will ultimately have a transformational impact on business.
Established in 2021, WorkHack began working with business in the recruitment industry building AI for interviews using GPT3. After successfully onboarding multiple large enterprise customers within a few months of going live, and realizing the opportunity was much larger than they initially anticipated, the company branched into the marketing-tech sector with use-cases for conversions, consultation journeys, cancellations, habit formation and lead qualification.
Today, WorkHack is the infrastructure that provides templates of use cases for companies to build custom conversational agents and deploy them on their own delivery stacks like web, mobile and Whatsapp. WorkHack AI has already made over a million conversations towards specific goals. Gartner has reported that by 2025, 30% of outbound marketing messages from large organizations will be synthetically generated, up from less than 2% in 2022.
