Gignav is founded to shape the future of work. We offer a unique SaaS platform that help businesses build an ecosystem of invite only private talent network and facilitate on-time self-sourcing of workers. We believe that successful localization of gig economy will create strong gig economy at global scale. At Gignav, we believe in the power of private talent networks along with data science and AI models to change the way we hire workers, look at talent and manage work. We are building practical solutions to the challenges around work and bringing work to the forefront, to its well deserving place.
We help you focus on work and maximizing worker productivity by putting the right people on the right job and apply lean work management to optimize resources. We believe automation, when done right, can make workers more productive and work more fun. We are building a platform that will empower the workers to perform better and help businesses to earn more.
The way work is done is changing fast. While everyone is busy catching up, we believe in shaping the future of work. Gignav provides analytics for best hiring match for your project needs and realtime visibility into project status down to task level. Using task automation analytics businesses can increase the worker productivity and quality of work significantly. We provides step by step task navigation, gather data on task steps and use worker feedback and recommendations in automating the tasks.
Let us imagine it together ! Then create it together! Welcome to the future of work !
Shape the future of work for the common good
To provide technology and tools to help create the best possible path to obtain, complete, deliver and monetize work
Om has spent more than two decades working in Information Technology leading Software Engineering, Enterprise Architecture and Data Architecture.
David Gonzalez Celis
David is UI development leader and drives all UI efforts at Gignav.
DR. GURINDER GOSAL
Dr Gurinder Gosal has Phd. from University of British Columbia in Data Science. He drives Data Science and Machine Learning, AI, Ontologies, NLP, Semantic Technologies strategy.