Since we started Dakai, our team has worked with companies doing business on every continent. We have delivered key applications for startups with seed funding as well as established enterprises.
Working with market leaders is something each member of our team has experience with, which makes us a dependable asset for our partners.
Starting recently, one of the more interesting challenges of big companies is fueling growth by modernizing infrastructure. Despite often unprecedented potential gains, this can be an extremely risky step which causes many companies to step back. Dakai is well prepared to guide the managers of these companies by providing valuable insight, education, and strategy to the table. Our cumulative experience in the industry lets us bring more value to the table for each new team we work with.
Without a doubt, one of the collaborations we're most proud of is developing a management system for Spotify from scratch. The tool lets creatives leverage technology to manage all the company's original content.
Over the course of several years, the old system not only became more and more fragile, it limited the daily workflow of hundreds of employees. It became apparent that the team has outgrown the toolset as a whole.
Dakai helped create a custom platform that works in symbiosis with the demands of each employee from various functional teams.
During the course of developing a software solution a team makes hundreds or thousands of decisions that add up together and form the final product. Picking a language is one of these decisions and at the point of making it there is no right or wrong answer. We try to choose the technology that best fits the project's initial specifications and we don't have favorites. If we had to list these are the technologies we use most often: Javascript (ReactJS, NodeJS, VueJS, AngularJS), React Native, Ruby on Rails, Python (Django, Flask, Keras, Tensorflow, PyTorch), Solidity, Go.
We use Machine Learning and Artificial Intelligence to identify patterns in our clients' data and provide them with valuable insights. One other use case of Machine Learning is achieving significantly higher customer engagement by providing customized options for the product's various users.
Apart from using ML or AI to grow we can help you reduce costs with these new technologies too. We're offering discounts for non-profits and educational institutes who are ready to switch from legacy scripts to this new type of thinking.
After writing over 30 web and mobile applications and hundreds if we count our engineers' past work we are well equipped to develop the solution you need.
Our preferred technologies for web development are ReactJS, NextJS (for small businesses), NestJS (for enterprise), PostgreSQL.
For mobile we usually recommend going with React Native until the company has grown the technology out. In case native features are required we patch holes with Swift or Objective-C bridges.
Dakai started as a blockchain development agency. By the fall of 2017 we got the chance to work with the largest ICOs ever orchestrated (for example Envion, $100M+ raised). It was the wild west, but as one of the only few trustable blockchain companies developing payment solutions and smart contracts for startups we found a niche that helped us grow.
Our preferred technologies are Hyperledger Fabric (private), Corda R3 (private), Solidity, C-Lightning, Python (for data mining, operations).
In many cases planning for the future with a combination of technology and business separates the right decisions from the wrong. We learn as much from our clients as they learn from us. We are trying to identify key issues at every point of growth and tackle them ahead of time whenever we partner with a small startup.
At the other end of the spectrum we have companies with a set of technologies, a monolithic application and a team trying to patch holes quicker than competitors. In the momentum of crushing growth having someone work on the future of the company can prevent lots of headache. We can optimize anything from database structures to devops practices.
Cost of manual labor is increasing rapidly across the world. Corporations of all sizes and shapes define new workflows to reduce headcount.
In the past we've helped Silicon Valley startups in preparing for the challenge of keeping small, but accomplishing great things.
We use Python scripts for smaller things a startup might need and after having deep insight into the daily work the different departments within a large corporation do we might recommend to create special web-based tools to swap out hundreds of excel sheets, build management system tailored to the company and other simple systems solving complex issues.
During the course of developing a software solution a team makes hundreds or thousands of decisions that add up together and form the final product. Picking a language is one of these decisions and at the point of making it there is no right or wrong answer. We try to choose the technology that best fits the project's initial specifications and we don't have favorites.
If we had to list these are the technologies we use most often: Javascript (ReactJS, NodeJS, VueJS, AngularJS), React Native, Ruby on Rails, Python (Django, Flask, Keras, Tensorflow, PyTorch), Solidity, Go
We use Machine Learning and Artificial Intelligence to identify patterns in our clients' data and provide them with valuable insights. One other use case of Machine Learning is achieving significantly higher customer engagement by providing customized options for the product's various users.
Apart from using ML or AI to grow we can help you reduce costs with these new technologies too. We're offering discounts for non-profits and educational institutes who are ready to switch from legacy scripts to this new type of thinking.
After writing over 30 web and mobile applications and hundreds if we count our engineers' past work we are well equipped to develop the solution you need.
Our preferred technologies for web development are ReactJS, NextJS (for small businesses), NestJS (for enterprise), PostgreSQL.
For mobile we usually recommend going with React Native until the company has grown the technology out. In case native features are required we patch holes with Swift or Objective-C bridges.
Dakai started as a blockchain development agency. By the fall of 2017 we got the chance to work with the largest ICOs ever orchestrated (for example Envion, $100M+ raised). It was the wild west, but as one of the only few trustable blockchain companies developing payment solutions and smart contracts for startups we found a niche that helped us grow.
Our preferred technologies are Hyperledger Fabric (private), Corda R3 (private), Solidity, C-Lightning, Python (for data mining, operations).
In many cases planning for the future with a combination of technology and business separates the right decisions from the wrong. We learn as much from our clients as they learn from us. We are trying to identify key issues at every point of growth and tackle them ahead of time whenever we partner with a small startup.
At the other end of the spectrum we have companies with a set of technologies, a monolithic application and a team trying to patch holes quicker than competitors. In the momentum of crushing growth having someone work on the future of the company can prevent lots of headache. We can optimize anything from database structures to devops practices.
Cost of manual labor is increasing rapidly across the world. Corporations of all sizes and shapes define new workflows to reduce headcount.
In the past we've helped Silicon Valley startups in preparing for the challenge of keeping small, but accomplishing great things.
We use Python scripts for smaller things a startup might need and after having deep insight into the daily work the different departments within a large corporation do we might recommend to create special web-based tools to swap out hundreds of excel sheets, build management system tailored to the company and other simple systems solving complex issues.
We are a team of developers, designers and businessmen who see the world differently. Dakai started as a blockchain consultancy working for some of the largest ICOs. After the cryptocurrency crash we pivoted to software development and consulting for tech firms. Eventually, we found our niche in leveraging technology to optimize and scale businesses.
Our processes evolve toward the goal of creating abundant value with the minimum viable technical involvement. We hold ourselves to first-principles thinking in everything we do and take pride in the successes of the teams we’ve worked with.