ML & Automation

It's a rush to the top in the digital product market out there. The main focus is about who creates the best digital product with the highest degree of automation such that that there is a wider profit margin every day.

Manual workflows that are dependent on human error and inefficency are one of the main reasons if your operational costs have been sky rocketing along with increased customers.

Many legacy IT systems have data in different formats, locations and languages. If you data cannot talk to itself, you're losing out on a key organizational asset.

Cloud processing power has improved signficantly. ML can augment your organizational decision making intelligence in everyway today.

Specialized smart BOTs talking to each other to accomplish a singular workflow makes up for a very smart artifical intelligence

Vision learning is the concept of using computerized cameras to detect objects and anomalies to replace a human from the task. This includes smart OCR, error detection in documents, mails etc

Sometimes, we have to step in and create a custom ML algorithm to suit customer requirements due to the diversity in information systems

Not all solutions are available on the same platform. We might need to mix and match solutions from different providers or add some customization of our own.

One of our key projects involved automating a list of task flows involving 3000-5000 documents to be processed on a daily basis. This included a team of 20+ members working with an accuracy rate of just above 80%

Our solution helped our customer downsize on 20 members in their team, cost of paper work, office space, stationary, transportation, storage and more.

Unlike legacy solutions that require you to add more hardware and resources to manage, ML solutions scaleup based on the processing power assigned to it. The cost of scaling is microscopic compared to legacy solutions.

We used a cornucopia of the cutting edge in technology to combine vision, machine learning, OCR, data analytics and visualization tools to automate the entire workflow involving 20+ people. Our solution is scalable to a point where the current system can handle 10x the workload without having to increase any processing power.

Such solutions come out of a creative team of experts that are involved in the business of making operations more effective.

The workflow starts off by understanding and analyzing your current problem statement.

Our experts present you with a POC as a potential solution to check if your success metrics are met.

Our team works diligently to integrate the technology with existing infrastructure without rebuild your IT systems.

A lot of IT systems require modernization over time. Specially the ones laden with multiple approvals and intermediate approval processes. Our smart solutions are capable of replacing these roadblocks with timely, efficient and accurate solutions

The Fintech industry requires constant updation overtime. With AML & KYC checks and regulatory audits becoming more stringent, it is difficult to remain operationally profitable unless you incorporate the best of ML. Innovation breeds Profitability.

Paperwork and audits are a major burden on the insurance sector. Legacy forms that produce distributed data sets across multiple systems cause your biggest asset, "Data" to work against your best interests. Incorporate ML + Data Analytics by investing in a data warehouse today.

Healthcare is notoriously known to have multiple accuracy issues in their digital records due to weaknesses in the data capture process. Solutions that are not user friendly causes an aversion to usage of the latest technologies. By combining simple data visualization, analytics and accurate reports, we can turn a data handicap into a data surplus.

Move into the industry leader space in terms of software automation through our solutions.

Let the Data do the work for you, start treating Data as a precious asset by extracting vital decision aiding information.

Cut down on inefficient operational expenses by incorporating better workflows today.