Remote Control

Working from home has come as a surprise to many as they adapt to new ways to work. Those whose daily commute was a way of life, have had to develop a whole new routine working remotely. A challenge, certainly, but humans are nothing if not adaptable.

We are fortunate that in 2020, commerce can continue to function through technology. Controlling our businesses remotely, creating virtual offices with Slack and Teams, and shifting physical meetings to Google meets, Zoom and Skype. Facetiming, instead of face to face. For me this has been the norm for the past few years. Working with a distributed Proptech company, using cloud based technology, being productive in the various channels of a virtual office. My trips to our physical office have been infrequent, time consuming and not really all that cost effective. I am far more productive working from home.

While I am in no way diminishing the sheer weight of grief that Covid19 has brought, the lockdown itself has had some intriguing and positive outcomes. For my company, we have seen increased interest in our property data analytics offerings as we are, and always have been, a remote facility. In e-meetings I have noticed a subtle shift of focus, as clients and prospects will often end with a remark about homeschooling, gardening, and the lack thereof, or to discuss how we are exercising. It feels like we are looking at our lives and the lives of those with whom we communicate in a better and more empathetic manner. Recent emails frequently close with the heartfelt words, “stay safe”.

A clear benefit of the lockdown has been the reduction in global emissions. In recent years worry about climate change has skyrocketed, as we fear reaching a point of no return. A BBC article last month by Anna Khoo of the BBC Shared Data Unit (https://www.bbc.co.uk/news/uk-england-52202974) found that some cities have seen a fall in nitrogen dioxide levels by as much as 60%. Carbon dioxide levels are also heading towards a 5.5% reduction. This may not seem much, but it is in the region of 2,000m tonnes of CO2, and you have to remember that we are using more or less the same amount of energy to heat and illuminate our homes now as we would have used going to work in an office. According to Carbon Brief (https://www.carbonbrief.org/analysis-coronavirus-set-to-cause-largest-ever-annual-fall-in-co2-emissions) 2020 could potentially see a larger reduction in CO2 than during any previous economic crisis or period of war.
Typing here in the May sunshine, I have noticed that there is a greater variety of birds in my garden. There are no white engine trails pinstriping the blue of the spring sky. No traffic sounds. My laptop fan hums along in unlikely harmony with a curious bee. I speak to many people each day, some of whom are stuck in high rise apartments without access to outside space, but they too see the positive side to this change. Like many others, this makes me think about the outcome of the lockdown. Having adapted to working from home, do we really need to travel to work? There is something to be said for the social side of office life, but I have e-meetings, Slack and my phone at hand even for that.

Many years ago, I was sent on a time efficiency course by an overzealous boss. I was already working a 6 day week, 8am to 6pm, with additional meetings held some evenings. The course was a revelation to me, as it worked with a pie chart of how to divide your time. 30% of that was friends and family, with separate time scheduled just for yourself. There is a whole separate article to be written about how we are brought up with the capitalist belief that even our hobbies should contribute to our careers, and therefore be monetised. This course advocated that hobbies should be a delightful reprieve. As you can imagine this did not best please said boss, but it did make me think about allocating some time just for me. Yes, I could still manage to fulfil my contracted obligations, but honest rest made me enjoy the role far more.

So my hope is that we will all come out of this with a new, hybrid way to work, splitting working from home and from the office. Benefitting from the serenity of our home office – ah, well maybe not when the offspring are being demanding! But also reducing the commute and global pollution; improving our own well being and enjoying a more rounded, fulfilling life. Taking just that bit more remote control.

Vivienne Brooks is the CCO of Houseprice.AI She has a long history as a Technical Software Support Guru, is a graphic artist and also has a strong background in Marketing.


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Property sourcing

Would you like to simplify your research?

Our app, Horizon, helps Property Sourcers to find the best properties, and produce information packed elegant reports for your clients and prospects.

At Houseprice.AI the team have produced this short video to give you an overview of how Horizon works for you.

Click the image to watch the video


Horizon - Insight

With Insight you can easily identify property hotspots

  • Drill down into any postcode in England and Wales
  • Find the areas that will give maximum yield
  • Check listing and historical comparables
  • Check prices for sales and rental
  • View listings from multiple sites and exports as csv
  • Value a listed property to find out if it is the fair price.

Horizon - Reactive value reports

Produce elegant, information packed, property reports with your own logo

  • White labelled
  • RICS compliant comparables
  • 3 year forecast
  • Upload photos, plans and add description
  • Estimated Rental Value (mth) / Gross Yield
  • Sales and rental values
  • EPC Data
  • Distance to amenities
  • Location
  • Editable values
  • Email, print, share on social media

  • Horizon - Projects

    The projects module has a host of features to help you promote a property to your clients

    Add one property or an entire portfolio
    Revalue at any time
    Copy a property and value it before and after conversion
    add features
    Change the configuration
    add improvement values
    create new reports for conversions
    Group projects by any category
    export to csv
    Need More Information?

    Please contact us if you have questions about Houseprice.AI , our AI data analytics app, want access to our API, or would like to schedule a demo.

    * info@houseprice.ai


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    Houseprice.AI is a RICS Tech Affiliate

    Can your AVM value a New Build?

    Using Machine Learning Houseprice.AI can

    Unlike 95% of traditional AVMs, our estimates and predictive values are not solely based on linear regression and extrapolation of historic sales prices.

    Our Machine learning process uses hedonic drivers which means that you can even vary these drivers to predict the effect of these factors on current and future value on residential property; a new build or a complete development with no sales history, or even one that has not even yet been built!

    Click the image to watch the video


    The methodology that we use is based on hedonic factors. This is a revealed-preference method which determines the relative importance of the variables which affect the value. We have over 50 different drivers of these variables drawn from the most comprehensive and proprietary datasets in the industry. We take into account Idiosyncratic, Geospatial and Macroeconomic variables to create one of the most accurate automated valuation models available on the market.

    If you want to be at the cutting edge of residential valuation, getting fast, accurate values, we can save you time and money, with transparency, clarity and consistency.

    Need More Information?

    Please contact us if you have questions about Houseprice.AI , our AI data analytics app, want access to our API, or would like to schedule a demo.

    * info@houseprice.ai


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    Houseprice.AI is a RICS Tech Affiliate

    Houseprice.AI - our data, your knowledge

    Click the image to watch the video


    Houseprice.AI

    • Market leading ML technology
    • Incredibly accurate valuations
    • Reactive value reports
    • Proprietary API

    Houseprice.AI is a data company specialising in identifying real value. We have the most comprehensive and proprietary data sets in the industry and have developed industry leading Machine Learning algorithms.

    Applications across a range of markets

    Our clients include: surveyors, banks, developers, buyers, vendors, investors and agents.

    A disruptor in the value of Real Estate
    • Saves time and cuts costs
    • Raises standards and simple to use
    • Superior market intelligence
    Information packed reactive value report

    Including: comparables, historicals, forecasts, sales values, listings, rental values, greenspace, neighbourhood, transport, economics, EPC and much more.

    Project Management

    From one property to an entire portfolio. Revalue at any time. Change property specs and obtain the value of the property after the improvements. Revalue an individual property or the entire portfolio at any time.

    Out of the box valuation widget

    A valuable lead generator that can be embedded in your website

    Superior market intelligence

    The HP.AI Risk/Reward index, is a proprietary index that further enhances residential real estate data knowledge and improve decision making and profitability.

    Need More Information?

    Please contact us if you have questions about Houseprice.AI , our AI data analytics app, want access to our API, or would like to schedule a demo.

    * info@houseprice.ai


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    Houseprice.AI is a RICS Tech Affiliate

    Eldred Buck interview, RICS Modus magazine

    Eldred has been featured in the October issue of the Royal Institute of Chartered Surveyors monthly publication, Modus.

    The article came out on the 10th, so it is "fresh off the press". You can read it here, or click the link to download a pdf copy.


    Example fallback content: This browser does not support PDFs. Please download the PDF to view it: Modus Article.

    Eldred Buck is CEO and Co-Founder of Houseprice.AI Ltd and a Non Executive Director at Sequant Capital. He has over 25 years experience in capital markets and banking, specialising in quantitative models and derivatives trading across all major asset classes. Previously he founded Eiger Trading Advisors, a leading fintech company.



    If you would like to know more information about Houseprice.AI , Horizon, or access to our proprietary API please feel free to contact us at info@houseprice.ai.


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    Mad about Metrics

    Houseprice.AI Value

    We have introduced 5 different metrics to suit all of our property clients. As a company we are mad about metrics and passionate about using AI data analytics.
    A core part of this is to interpret and predict the fairest and most accurate value.

    We realise that each sector of the property market has different needs. As an example, an agent wants sales regression for an accurate appraisal, a consumer wants our fair value to protect their investment, whilst a vendor the guided listing price to get the the maximum return on the property.

    We give you the tools to help you to make the right decisions for your property interests.

    Current estimated value This value is what we call the fair price, property can go higher or lower but this is our AI deduced benchmark value based on over 40 drivers.

    Range Includes variables relating to changes in factors such as, aspect, environmental factors, fittings and improvements.

    Sales Regression Method used by traditional AVMs. Deriving a value by fitting a line between the recent sales of comparable properties factored for PSQM/PSQF .

    Weighted Average A weighted average of sale prices over the past 6 months

    Guided Listing price Recommended listing price based on analytics of time on the market and supply demand measures for the area.

    Confidence level Statistical measure that is based on how many observations there are for the specific area/property type and deviation from the mean.

    Adjusted Value
    Gain more precision by adjusting property details and watch the value adjust instantly. The more details you are able to provide, the more precise our adjusted value will be.

    Vivienne Brooks is the CCO of Houseprice.AI She has a long history as a Technical Software Support Guru, is a graphic artist and also has a strong background in Marketing.
    Need More Information?

    Please contact us if you have questions about Houseprice.AI , our AI data analytics app, want access to our API, or would like to schedule a demo.

    * info@houseprice.ai


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