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Uplifiting the Startups to the Established Companies

Equally, though, the conceit that underlay Asterix would have been nothing without Uderzo. The challenge was to portray the age of Julius Caesar in a way that was true to the history and yet an utterly joyous recalibration of it. Brutality had to be portrayed as knockabout; a world of mud and gore and fire repainted.

Like the rest of the Orwell prize shortlist, Milkman has a theme rather than an agenda. Always capacious, the genre of political fiction can now accommodate authors such as Ali Smith, Rachel Kushner, Paul Beatty and Jonathan Coe.

50+ years of excellence service.
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Recognized with national and international awards
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Fund raised for 100+ startups.
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100s of startups turned to extablished companies
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Focused on delivering value for our customers.

“It’s an island full of talent and if you grow up there, you grow up living and breathing music.”

It seems every year there is huge growth in women’s sport. Each new year brings bigger crowd figures, new competitions, increased television coverage and new records being set. But as the nation took to social media to share in the emotion of Phillips’ anterior cruciate ligament injury, it was clear there was another, less quantifiable, factor at play.

Rechard Howell
Founder – Rishi Councelling

Go-to-market success with a proven framework

We’ve tested our go-to-market framework, helping clients live up to their highest potential through our decades of experience.

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Our Mission

Wearing face masks that adequately cover the mouth and nose causes the error rate of some of the most widely used facial recognition algorithms to spike to between 5 percent and 50 percent.

A study by the US National Institute of Standards and Technology (NIST) has found. Black masks were more likely to cause errors than blue masks, and the more of the nose covered by the mask, the harder the algorithms found it to identify the face.

Our Vision

Wearing face masks that adequately cover the mouth and nose causes the error rate of some of the most widely used facial recognition algorithms to spike to between 5 percent and 50 percent.

A study by the US National Institute of Standards and Technology (NIST) has found. Black masks were more likely to cause errors than blue masks, and the more of the nose covered by the mask, the harder the algorithms found it to identify the face.

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Join over 100+ companies using our unique go-to-market approach to a sustainable competitive advantage.

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