{"id":7082,"date":"2022-06-22T00:00:00","date_gmt":"2022-06-22T00:00:00","guid":{"rendered":"https:\/\/www.gradiant.com\/gradiant-optimises-its-digital-strategy-with-synauta-acquisition-global-water-intelligence\/"},"modified":"2025-08-12T06:49:31","modified_gmt":"2025-08-12T10:49:31","slug":"gradiant-optimiert-seine-digitale-strategie-mit-der-ubernahme-von-synauta-global-water-intelligence","status":"publish","type":"post","link":"https:\/\/www.gradiant.com\/de\/external-media\/gradiant-optimises-its-digital-strategy-with-synauta-acquisition-global-water-intelligence\/","title":{"rendered":"Gradiant Optimises Its Digital Strategy with Synauta Acquisition | Global Water Intelligence"},"content":{"rendered":"\t\t
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BOSTON, Mass. \u2013 June 23, 2022 – <\/strong>In May, leading industrial water technology provider Gradiant announced its acquisition of Synauta, a Canadian start-up specialising in machine-learning software to optimise the performance of reverse osmosis (RO) systems. Capitalising on Gradiant\u2019s $104.8 million funding injection from last year, the acquisition bolsters the company\u2019s offering by providing new synergies in digital twins and AI-based performance optimisation for industrial markets.<\/p>

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Building a greater presence for Gradiant in the digital market was a key driver for the deal and a natural progression for a company which has carved out a sizeable stronghold in the challenging industrial market over the last decade. \u201cDigital in water is nascent: it\u2019s a fast-growing space. That\u2019s exactly the kind of market we thrive in,\u201d explained Prakash Govindan, COO of Gradiant. Synauta leverages machine learning algorithms to assess membrane operating parameters and make recommendations for maximised recovery and improved chemical management. With a demonstrated track record in providing energy and cost savings for desalination processes, combining Synauta\u2019s machine learning algorithms with Gradiant\u2019s treatment capabilities and existing digital framework represents the next piece in the latter\u2019s digital strategy.<\/p>

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Integrating Synauta\u2019s expertise presents clear benefits for Gradiant\u2019s build-own-operate business model, with existing algorithms able to be rapidly integrated into operational plants to expediate return on investment. \u201cWith build-own-operate projects, the Achilles heel is always the operational cost,\u201d Govindan explained. \u201cIf we can bring the power and chemical consumption down that is an immediate win.\u201d Additionally, the digital twin models provide an extra competitive edge when going head-to-head with other established end-to-end solution providers.<\/p>

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While Gradiant\u2019s SmartOps solution provides monitoring, automated maintenance and workflow processes, Synauta\u2019s machine learning tools bring optimisation to maximise performance and add further efficiencies in cost and energy consumption. With Gradiant already well-positioned as an end-to-end solutions provider, the integration of Synauta\u2019s machine learning capabilities provides optimisation for a plethora of technologies including counterflow reverse osmosis, ultrafiltration, advanced oxidation processes and carrier gas extraction (CGE). \u201cTo be able to further refine the performance [of CGE] by using the machine learning tools that Synauta has, which are based on neural networks and finite time analytics, gives us an extra advantage,\u201d Govindan told GWI. Gradiant is also planning to offer Synauta\u2019s AI solution as a package with RO Infinity, a semi-batch RO system: one of the first projects of this nature is lined up in Western Australia.<\/p>

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NEW HORIZONS<\/strong>
Machine learning algorithms can lower the total water cost of technologies including CGE, seen here installed for a pharma client in Singapore.<\/p>

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Whereas digital twins have hitherto been generally used in municipal water and wastewater networks, there is growing demand for digital optimisation in industrial markets. Gradiant is already set to deliver a wastewater treatment plant with an incorporated digital twin to a large microelectronics client in Singapore. \u201cThey understand that this is the next big paradigm shift in terms of delivery of water for them,\u201d commented Govindan. \u201cThat intersection of the importance of water for our Fortune 100 clients and the importance of digital in being able to deliver that promise at the right price is the impact that this partnership with Synauta can have.\u201d<\/p>

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The differing dynamics of the municipal and industrial markets mean that Synauta can leverage Gradiant\u2019s foothold to tailor its software for a new client base. While its application programming interface (API)-led approach sets it apart in flexibility and ease of deployment in municipal desalination and reuse, catering to industrial operators managing multiple non-water systems requires a platform. \u201cWe were less differentiated in the industrial space,\u201d Synauta\u2019s CEO Mike Dixon explained. \u201cFor us to develop the platform [ourselves] was a huge investment, but to continue working in the back end of what Gradiant has already created makes a lot of sense.\u201d<\/p>

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Although Gradiant\u2019s digital portfolio is maturing, this deal is set to be one of many in its sights as it looks to further augment its end-to-end solutions offering. \u201cIt has to be synergistic, like Synauta,\u201d Govindan emphasised. \u201cThere are markets we don\u2019t operate in, Europe for example, where an acquisition would make sense.\u201d Next in line is the acquisition of a biological treatment provider, Govindan told GWI.<\/p>

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Contact<\/strong><\/p>

Felix Wang<\/p>

Gradiant, VP of Marketing<\/p>

fwang@gradiant.com<\/p><\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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