Skip to main content

A Lean Greentech Approach



I am a greentech enthusiast and I have been closely following the greentech VC investment landscape. The VCs like Kleiner Perkins who have had a large greentech portfolio including companies such as Bloom Energy are scaling down on greentech investment. Their current investment is not likely to get any returns close to what a VC would expect. The fundamental challenge with such greentech (excluding software) investment is that they are open ended capital-intensive; you just don't know home much time it would take to build the technology/product, how much it would cost, and how much you would be able to sell it for. The market fluctuations make things even worse. This is not only true in the case of start-ups but also true for the large companies; Applied Materials' grand plan to revolutionize thin-film solar business ended up in a bust.  

There's a different way to approach this monumental challenge.

Just look at how open source has evolved. It started out as non-commercial academia projects where a few individuals challenged the way the existing systems behaved and created new systems. These open source projects found corporate sponsors who embraced them and helped them find a permanent home. This also resulted in a vibrant ecosystem around it to extend those projects. A few entrepreneurs looked at these open source projects and built companies to commercialize them with the help of VC funding. Time after time, this business model has worked. Technologists are great at building technology, companies are great at throwing money at people, entrepreneurs are great at extending and combining existing technology to create new products, and VCs are great at funding those companies to help entrepreneurs build businesses. What VCs are not good at is doling out very large sum of money to bet on technology that doesn't yet exist.

If we need to make it work, we need a three-way relationship. People in academia should work on capital-intensive greentech technology projects that are funded by corporations through traditional grants. These projects should become available in public domain with an open source like license or even a commercial license. The entrepreneurs can license these technology, open source or not, and raise venture money to build a profitable business. The companies that are constantly contributing their greentech initiatives to public domain should continue to do so. Facebook's Open Compute project is gaining traction in its second year and Google continues to share their green data center design.

The important aspect is to differentiate technology from a product. The VCs are not that good at investing into (non-software) technology but are certainly good at investing into products. For many greentech companies, technology is a key piece such as a battery, a specific kind of a solar film, a fuel cell etc. Commercializing this technology is a completely different story. This requires setting up key partnerships such as eBay's new data center using Bloombox and Israeli government committing to a nationwide all-electric car infrastructure with Better Place.

Many large companies have set up their incubators or "labs" to find something that is fundamentally disruptive that could help their business. Later, there have been a very few success stories of these incubators or labs because the start-up world is way more efficient to do what big companies want to do. These labs are also torn between technology and products. My suggestion to them would be to go back to what they were good at - hiring great scientists from academia and working with academia on the next-generation technology to create a business model by either using that technology in your products or to license it to others who want to build business. This shifts the investment from a few VCs to a relatively large number of corporations.

What we really need is a lean greentech approach.

Photo Courtesy: Kah Wai Lin

Comments

Popular posts from this blog

Emergent Cloud Computing Business Models

The last year I wrote quite a few posts on the business models around SaaS and cloud computing including SaaS 2.0 , disruptive early stage cloud computing start-ups , and branding on the cloud . This year people have started asking me – well, we have seen PaaS, IaaS, and SaaS but what do you think are some of the emergent cloud computing business models that are likely to go mainstream in coming years. I spent some time thinking about it and here they are: Computing arbitrage: I have seen quite a few impressive business models around broadband bandwidth arbitrage where companies such as broadband.com buys bandwidth at Costco-style wholesale rate and resells it to the companies to meet their specific needs. PeekFon solved the problem of expensive roaming for the consumers in Eurpoe by buying data bandwidth in bulk and slice-it-and-dice-it to sell it to the customers. They could negotiate with the operators to buy data bandwidth in bulk because they made a conscious decision not to st...

A Data Scientist's View On Skills, Tools, And Attitude

I recently came across this interview (thanks Dharini for the link!) with Nick Chamandy, a statistician a.k.a a data scientist at Google. I would encourage you to read it; it does have some great points. I found the following snippets interesting: Recruiting data scientists: When posting job opportunities, we are cognizant that people from different academic fields tend to use different language, and we don’t want to miss out on a great candidate because he or she comes from a non-statistics background and doesn’t search for the right keyword. On my team alone, we have had successful “statisticians” with degrees in statistics, electrical engineering, econometrics, mathematics, computer science, and even physics. All are passionate about data and about tackling challenging inference problems. I share the same view. The best scientists I have met are not statisticians by academic training. They are domain experts and design thinkers and they all share one common trait: they love data!...

Focus On Your Customers And Not Competitors

A lorry is a symbol of Indian logistics and the person who is posing against it is about to rethink infrastructure and logistics in India. Jeff Bezos is enjoying his trip to India charting Amazon’s growth plan where competitors like Flipkart have been aggressively growing and have satisfied customer base. This is not the first time Bezos has been to India and he seems to understand Indian market far better than many CEOs of American companies. His interview with a leading Indian publication didn’t get much attention in the US where he discusses Amazon’s growth strategy in India. When asked whether he is in panic mode: For 19 years we have succeeded by staying heads down, focused on our customers. For better or for worse, we spend very little time looking at our competitors. It is better to stay focused on customers as they are the ones paying for your services. Competitors are never going to give you any money. I always believe in focusing on customers, especially on their latent unme...