YBF #FinTech pitch night

It’s getting difficult to keep up with all the FinTech activity in Melbourne – from Meetups to pitch nights, from hubs to incubators. The latest Next Money / York Butter Factory / Fintech Victoria pitch night was a showcase for three startups-in-residence at YBF. As such, it was not the usual pitch competition – more an opportunity for the startups to hone their presentations.

First up was Handy, an app-based solution that connects trades with customers to streamline the settlement process for property insurance claims. There is an industry-wide low-level of satisfaction with property claims – which can take up to 60 days to process, even though 80% of claims are for less than $5,000. Handy offers a faster solution, and doesn’t require a lengthy estimate or quoting process, using instead fixed-price rates. With a target market of 100,000 claims per annum, Handy expects to generate 25% savings to the insurance industry, as well as having a broader societal impact in terms of speedier claims, better appreciation of service providers, and more consideration of the respective needs of householders and trades. Launching an MVP in November, there are four insurance firms in pilot test mode. Aiming for a white label solution, Handy will charge clients basic setup and maintenance fees, as well as volume transaction costs (although the exact pricing and revenue model still needs to be worked out). There were audience questions about the liability for quality of work and dispute resolution, the trade supplier on boarding and verification process, and the process for communicating to policy holders whether their insurance provider or broker is covered by the platform.

Next was FinPass, a startup appealing to the 40% of the workforce expected to be freelance by 2020 – a key feature of the gig economy. Targeting so-called “slashies“, FinPass is designed to help customers apply for personal loans when they don’t have a single, steady or stable source of income – and therefore, may lack a formal credit rating or personal credit score – while adhering to the five Cs of credit. Using a combination of blockchain and API to validate a loan applicant’s income profile, FinPass would then make this data available to approved lenders (subject, presumably, to consumer credit and lending standards, customer privacy and data protection requirements). To be fair, this project was fresh from winning a recent hackathon event, and therefore is still at the concept stage. However, it was clear that much needs to be done to define the revenue model, as well as designing the actual blockchain solution. Audience feedback questioned the need for a standalone solution, given the existence of various block explorers, APIs, vendors, protocols and bank feed sources. In addition, while blockchain provides a level of transaction immutability, and since only the hash-keys will be captured, the SHA’s will only confirm the hash itself, not the veracity of the underlying data?

Finally, there was Resolve, a two-sided market place for the insolvency services – a platform to buy and sell distressed businesses. Designed to capture turnaround opportunities, the platform has a target market of 14,000 transactions per annum – of which only 1% currently advertised, simply because it’s too expensive to use traditional media (i.e., finance and business publications). In addition, 92% of companies that enter insolvency return zero cents in the dollar to their creditors. Part bulletin board, part deal room, Resolve aims to create a passive deal flow for this alternative asset class. When asked about their commercial model, the founders expect a turnover based on a few hundred businesses each year, and revenue coming from a flat $1,000 per listing – but the key to success will be building scale.

Each of these early-stage startups represent promising ideas, revealing some innovative solutions, so it will be interesting to follow their respective journeys over the coming months.

Next week: Bitcoin – Big In Japan

StartupVic’s Machine Learning / AI pitch night

Machine Learning and AI are such hot topics, that I was really intrigued by the prospect of this particular StartupVic pitch night. First, this was a chance to visit inspire9‘s recently established Dream Factory – a tech co-working facility, maker space, and VR lab in Melbourne’s western suburb of Footscray. Second, the Dream Factory, housed in a landmark building owned by Impact Investment Group, was a major beneficiary of LaunchVic funding, and this event could be seen as a showcase for Melbourne’s tech startup sector. Third, with so many buzzwords circling AI, it offered a great opportunity to help demystify some of the jargon and provide some practical insights.

Image sourced from StartupVic

Instead, the pitches felt underdone – probably not helped by the building’s acoustics, the poor PA system, and the inability of many of the audience to be able to read the presenters’ slides. I wasn’t expecting the founders to reveal the “secret sauce” of their algorithms, or to explain in detail how they program or train their “smart” applications. But I had hoped to hear some concrete evidence of how these emerging platforms actually work and how the resulting data is specifically analyzed and applied to client solutions.

Amelie.ai

With a tag line of “powering the future of mental health” the team at Amelie.ai are hoping to have a positive impact in helping to reduce suicide rates. Unfortunately, judging by the way some key statistics are presented on their home page, the data (and the methodology) are not as clear as the core message.

Using technology to help scale the provision of mental health and well-being services, combined with mixed delivery methods, the solution aims to offer continuity of care. Picking up on user dialogue and providing some semi-automated and curated intervention, the presentation was big on phrases like “triage packages”, “customer journey”, “technical architecture”, “chatbots” and of course, “AI” itself, but I would have like a bit more explanation on how it worked.

I understand that the platform is designed to integrate with third-party providers, but how does this happen in practice?

Only when asked by the judges about their competitive advantage (as there are similar tools out there – see Limbr from a previous pitch night) did the presenters refer to their proprietary language models, developed with and based on user trials. This provides  a structured taxonomy, which is currently English-only, but it can be translated.

There were also questions about data privacy (not fully explained?) and sales channels – which may include workplace EAPs and health insurers.

Businest

According to the founder, “dashboards and KPIs only diagnose pain, Businest fixes it“. In short, this is intelligence business analysis for SMEs.

With a focus on tracking working capital and cashflow, as far as I can tell, Businest applies some AI on top of existing third-party accounting software. It identifies key metrics for a specific business, then provides coaching and videos to change business behaviour and improve financial performance. There is a patent pending in the US for the underlying algorithm, which prioritizes the KPIs.

Again, I was not totally clear how the desired results are achieved. For example, are SMEs benchmarked against their peers (e.g., by size/industry/geography/maturity/risk profile)? Do clients know what incremental benefits they should be able to generate over a given time period? How does the financial spreadsheet analysis assist with improving structural or operational efficiencies that are outside the realm of financial accounting?

Available under a freemium SaaS model, Businest is sold direct and via accountants and bookkeepers. A key to success will be how fast the product can scale – via partnering and its integration with Xero, MYOB and QuickBooks.

AiHello

I must admit, I was initially curious, and then totally bemused, by this pitch. It started by asking some major philosophical and existentialist questions:

Q: How do we define “intelligence”?
Q: Are we alone? Or not alone?

No, this is not IBM’s Watson trained on the works of John-Paul Sartre (cf. Dark Star and the struggle with Cartesian Logic). Instead, it is an analytical and predictive app for Amazon sellers. It claims to know what products will sell, where and when. And with trading volumes worth $2.5m of goods per month, it must be doing something right. Serving Amazon sellers in the US and India (and Australia, once Amazon goes live here), AiHello charges fees based on fixed licences and transaction values. The apparent benefits to retailers are speed and savings.

Asked where the trading data is coming from, the presenter referred to existing trading platform APIs, and “big data and deep learning”. It also uses Amazon product IDs to make specific predictions – currently delivering 60% accuracy, but aiming for 90%. According to the founder, “Amazon focuses on buyers, we focus on sellers”. (Compare this, perhaps, to the approach by Etsy.)

C-SIGHT

A new service from the team at Pax Republic, this latest iteration is designed to avoid some of the policy and reputation issues involved with managing, supporting and protecting whistleblowers. Understanding that whistleblowers can pose an internal threat to brand value, and present a significant human risk, C-SIGHT provides a psychologically safe environment for the Board, C-suite and workforce alike, and can act as an early warning system before problems get out of hand.

Sold under a SaaS model, C-SIGHT analyses text-based and anonymous dialogue, with “real-time data sent to different AI apps”. I understood that C-SIGHT combines human and robot facilitation, while preserving anonymity, and also deploys natural language processing – but I didn’t fully understand how.

In one client use case, with the College of Surgeons, there were 1,000 “contributions” – again, it was not clear to me how this input was generated, captured, processed or analysed. Client pricing is based on the number of invitations sent and the number of these “contributions” – what the presenter referred to as an “instance” model (presumably he meant instance-based learning?).

Asked about privacy, C-SIGHT de-identifies contributions (to what degree was not clear), and operates outside the firewall. There was also a question from the judges about the use and analysis of idiom and the vernacular – I don’t believe this addressed in much detail, although the presenter did suggest that the platform could be used as a way to drive “citizen engagement”.

Overall, I was rather underwhelmed by these presentations, although each of them revealed a kernel of a good idea – while in the case of AiHello (which was the winner on the night), sales traction is very promising; and in the case of Businest, industry recognition, especially in the US, has opened up some key opportunities.

Next week: Bitcoin – to fork or not to fork?

Agtech Pitch Night at SproutX

Judging by some of the news coverage, last week’s pitch night showcasing successful applicants to the SproutX agtech accelerator suggests that this will be a program worth watching. (Look out for the demo day later in the year…) With an initial cohort of 11 participants, this recent addition to Melbourne’s startup scene is showing there is an audience and a market for smart farming solutions. Founded by Findex and the National Farmers Federation, SproutX also enjoys support from Ruralco and Artesian, as well as the Victorian Government.

Given the number of pitches, my comments on each startup presentation are necessarily short:

AgriLedger

This project is driving social impact by focusing on farmers in the developing world. It offers a smart phone app that helps deliver products and services direct to farmers, such as solar power facilities and micro loans, and enables them to plan better and to share equipment with other local farmers. Currently active in Papua New Guinea, Kenya and Myanmar, AgriLedger has been supported by some high-profile NGOs and attracted some impressive backers and advocates.

However, the judges felt that the pitch didn’t contain enough of the story, or explain how it actually works.

Applant

With a tag line of “aTree in your home”, Applant has come up with a novel design for a vertical gardening system that uses aeroponics. The idea is to help people “grow more with less”, and to grow food where we live, work, eat and even play. With an underlying concept for modular food systems, Applant is about to launch a Kickstarter campaign.

The judges had hoped to learn more about the customer demand and the proposed
customer subscription model.

Bloomboxco

Delivering locally sourced and farm-fresh cut flowers direct to customers, my immediate thought was “flower miles”. Launching just recently with a monthly subscription model, Bloomboxco has already attracted around 35k followers on social media (mostly Pinterest). By its own admission, the service appeals mainly to women who enjoy contemporary design and lifestyle trends.

But the judges wanted to know what makes this business different: given that the current supply model for cut flowers is built on margin, how does Bloomboxco aim to compete?

Farmgate MSU

With their mobile slaughter unit (MSU), the team from Farmgate want to “open the gate to on-farm abattoirs”. Many farms do not have access to an abattoir thanks to industry consolidation and contraction. The MSU is designed to cut production costs, minimize animal stress, and reduce waste. While still relying on central butchery services, the MSU has the potential to add value, especially for premium products, as it can operate at smaller scale. Farmgate also benefits from having a team drawn from across the meat supply chain.

For the judges, the pitch could have done more to demonstrate the capability, and to explain what happens to waste and by-products.

Farmapp

Farmapp has developed a digitized and integrated pest management solution for greenhouse crops. Using data collected from various sensors and stored in the cloud, Farmapp uses visual analysis, helping farmers to reduce their use of pesticides and increase productivity. It is currently installed in 1200 greenhouses (mainly Columbia and Kenya).

The judges wondered about the competition, as they were aware of a number of other similar solutions.

iotag

This “fitbit for cattle” uses long-range GPS monitoring to track and manage livestock health. In addition to the setup costs for network base sensors, there is a monthly subscription fee to manage data.

There were no comments from the judges, apart from the representative from the farming community, who claimed to hate subscription services.

Smart-Bait

Smart-Bait uses sensors, cognitive APIs and programmed alerts to track feral animals. Current solutions (baiting, fencing, shooting) are either unreliable, inefficient, or non-selective. Instead, Smart-Bait is leveraging IoT and AI, and can be used offline giving further flexibility. Currently conducting farm trials, the founders say that there is government interest in the data.

For their part, the judges wanted to know if there were other applications for this technology – but more importantly, they wanted to know how it actually works.

Snaptrap

This product enables remote pest monitoring and control, especially fruit fly. It retrofits to existing systems, and has established a successful proof of concept. Snaptrap is targeting research, government and industry users, appealing to both growers and the bio-security market. Another subscription-based product, the founders claim there are many use cases, and the solution is scalable.

The judges asked about the data (what happens to it), and our farm rep again queried the use of a subscription model.

Thingc

With the goal of producing “intelligent orchestrated things”, Thingc aims to reduce the number of manual tasks and alleviate animal stress in livestock management. Using the notion of precision management, it takes data from monitoring sources and applies it yield forecasting.

The judges wanted to know “where’s the tech?”, who is the competition?, and what exactly is the end game?

TieUp Farming

TieUp uses an algo-based solution to compensate for the lack of data available for yield forecasting in horticulture. The data is being made available to farmers, industry and banks, using an aggregation of different technologies. The founders claim it to be both practical and customizable, while they see significant opportunities in South East Asia.

The judges wanted to know how it actually works, and to what degree it can support traceability of produce?

Water Save

As the name suggest, Water Save is designed to reduce water and power consumption on farms. With increased concerns about water efficiency and environmental impact of run-off on the Great Barrier Reef, Water Save uses existing irrigation monitoring systems (micro weather stations, sensors) and connects them into an integrated and networked solution. The system involves set up costs, hardware costs, and subscription fees, but a key goal is to reduce the use of fertilizers – creating both economic and environmental savings.

The judges wanted to know more about the solution for linking individual sensors, and whether it has the capability to monitor nitrates.

 

For most of these 3-minute pitches, the challenge was to tell enough of the “story” while still explaining how it works – and there was a sense that the audience understood the context as well as the problem, and probably didn’t need too much background explanation. Instead, they would have appreciated learning more about the technology and the potential to succeed – i.e, “why you?”.

Farmgate MSU was declared the winner by the judges, and voted the people’s choice by the audience.

Next week: ASIC updates – Sandbox and Crowdfunding (plus #FinTech hub)

SportsTech and Wearables Pitch Night at Startup Victoria

Appropriately hosted within Melbourne’s Olympic Park, last week’s Startup Victoria pitch night featured four companies working in SportsTech. It was further evidence of the breadth and variety within the local startup sector even if, on this showing at least, there was a little less innovation than we have seen at other monthly pitch nights.

First, there were a couple of presentations from Catapult and Genius Tech Group, to help provide some context to the topic, especially helpful for people who may not be familiar with this sector. However, I’m not convinced that referencing Australia’s Olympic medal tally as a key rationale for building a sports technology industry necessarily set the right tone. For a start, despite some gold medal success in the 2000, 2004 and 2008 summer games, Australia has seen a rapid decline in medal performance at the past two Olympiads. Then there are the cultural and governance issues at the AOC itself.

Then came the pitches, in order of appearance (website links in the titles):

TidyHQ

With the slogan “tribes are everywhere”, this business is all about getting the off-field performance right. TidyHQ is supporting smarter sporting clubs and organisations by helping them with things like governance and succession planning, and by having all their back office operations in one place. Essentially a white label portal solution that offers branded websites (“SaaS doesn’t work in this market”), the service is designed to support grassroots clubs and associations, across all sports.

Using a freemium subscription model, the main sales channels are local and regional AFL leagues. Sales are helped by a viral effect – given that in small towns and regional areas, there is quite an overlap of club officers.

TidyHQ also takes a clip from sales of multi-stream products and services sold through their customer sites, which includes a diverse range of clients such as yoga studios, play groups, plus a number of US sororities, fraternities and law schools.

Competition comes from different quarters: vendors like TeamSnap and SportsTG; incumbent club officials and their spreadsheets; even social media. One challenge, however is managing and harnessing the “volunteer mindset” associated with community sports clubs, especially when it comes to budgets and adapting to change.

RefLIVE

This company has built an app for soccer referees that works on smart watches. Referees typically use stopwatches to record match time and stoppages which, with constant match use have an average life of 2-3 years. Yet referees also have to keep track of player substitutions, match scores as well as the yellow and red cards they hand out.

At a price point of $60 per annum for referees, and annual fees of between $5k and $50k for soccer leagues and associations, an ideal entry point for RefLIVE would seem to be local, short-form knock-out tournaments, where the full range of features can be deployed in one place.

Currently scaling to take advantage of international market opportunities, RefLIVE is currently receiving enquiries from youth soccer leagues in Japan, as well as Germany and China.

Considered to be (literally) a game changing app for the Apple smart watch, RefLIVE is
also seeing interest from AFL, Rugby Union, Rugby League and field hockey.

At the moment, the platform does not support a live back-end, and there are no real plans to distribute or commercialize the data. While live data could be pushed to a server via WiFi, a bigger obstacle is getting the refs themselves on board – even though it has the potential to enhance their on-field performance and help them with off-field administration.

Spalk

Spalk (“crowd-sourced sports commentary”) enables custom audio streaming for TV sports, via some proprietary technology to synchronise secondary content with traditional broadcasts. Due to the high costs and copyright issues associated with TV broadcast rights for professional sports (only made more complex by “over the top” platforms), Spalk is mainly licensed by broadcasters for coverage of amateur competitions.

The international basketball body, FIBA, sees an opportunity for Spalk to help drive international engagement, through the use of localised and translated commentary. However, in many cases, Spalk will need sports that retain their own D2C content rights. (Anyone familiar with the challenges of listening to overseas test matches will be aware of Guerilla Cricket, and its predecessor, Test Match Sofa.)

Part of Spalk’s “special sauce” is in integrating and synchronizing multiple audio tracks, which can provide better UX compared to social media streams and viewer posts, commentary and Tweets. Another key to success is the ability to integrate with existing broadcasting commentary technology and vendors.

SPT

Finally, SPT (sports performance tracking) is a GPS monitoring system aimed at amateur and grass-roots clubs and leagues. Offering analytics for all teams, SPT is cloud-based, multilingual and claims to be “efficient, simple, affordable”. So simple, that unlike the aforementioned Catapult, clubs don’t even need to hire sports scientists….

Currently supporting 800 clubs, and 65% of revenue coming from overseas (despite claiming to have spent only $300 on marketing), the main appeal is probably the $299 price point per device, and the core user base is amateur leagues.

SPT has so far relied on viral effects and referrals, plus an element of FOMO. While SPT may not be as sophisticated or as detailed as similar platforms used in professional sports, it has managed to demonstrate the data validation when compared to some camera-based apps. In any event, according to the founders, a 2-3% margin for error is OK for this audience. And if users can compare their own performances against those of professionals, that is an added bonus.

However, one issue facing the collection, use and sharing of sports analytics has recently surfaced in a spat between the England team manager, Gareth Southgate, and Manchester United boss, Jose Mourinho. Which may make some clubs reluctant to upload their data.

Following a tally of the judges’ votes, Spalk was declared the winner, but only by a margin of 0.25 points….

POSTCRIPT: While I think the decision to present thematic pitch nights was a good call, there are a few logistical aspects to the current series of events that the organisers need to address:

  1. Choice of venues: the room used for the sports tech pitch night had an unfortunate layout – there was a pillar right in front of the stage, which must have been off-putting for the presenters. (Also, there was only a very small screen to display the pitch deck slides, so most people in the audience wouldn’t have been able to see them.)
  2. AV tech: I’ve said this before, but organisers need to arrange for a second monitor in front of the presenters, so they don’t need to keep looking over their shoulders at their slides. And please, please check that clickers are working (or that presenters know how to use them!)
  3. Audience participation: At previous pitch nights, the MC would field questions from the audience. Now, no more. And the audience voting system (people’s choice) has gone awry. Makes it feel less engaging.

Next week: The network(ing) effect