CTO as a Service

[contact enquiries@techwyns.com and 4253012760 for more info]

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Tap into our technical leadership delivered on a CTO as a service basis to bring your boldest business ideas to life, with risks reduced and costs optimized

Top-level virtual CTO services delivered flexibly

We help startups and growing SMEs achieve technical diligence through flexible CTO as a Service engagement models. Whether you require an unbiased consultation about your solution, want to fill in the technological leadership gap, or seek ongoing support from an ace virtual CTO — we do it all while staying responsive to your needs which we can serve in the following capacity:

- CTO consulting

- Full-time CTO

- Fractional CTO

- Interim CTO

The virtual CTO will lead you through the discovery stage, choosing the optimum tech stack, assessing your product’s development costs, and vetting the right talent or solve specific technical issues at the later stages of developmentAs a CTO as a Service vendor, we will provide you the advantage of having an in-house expert, seamlessly integrating into the team, and continuously delivering top-level technical guidance

Our CTO for hire will support your project on an ad-hoc basis, performing an independent audit of your product and processes, advising on product and technology strategy, and supervising the implementation of the necessary changesWe will provide for business continuity and deliver the technical leadership and expertise lacking in-house while you’re searching for a permanent CTO

TECHWYNS SOFTWARE DEVELOPMENT SERVICES

- Enterprise Systems and tools - abacus, leanplum, branch, tune,

- Web Apps: MERN, MEAN, MERNG

- API & Integrations - rapidAPI

- Cloud-based Solutions - AWS, Azure, GCP

- Mobile Apps - android kotlin, ios swiftUI

- IoT/Edge Solutions

- AI & Big Data - HIVE, hadoop

- Automation Software

- Games development with unity3d, unreal

CTO as a Service: what we can help you with

A CTO as a service vendor with a decade of experience guiding complex, innovative projects, we’ll apply our skills to help you achieve technical excellence. No matter the challenge — be it leading your R&D team, allocating resources and budget, or collaborating with stakeholders across the executive board — we’ll make sure your business goals and the development process go hand in hand.

Project planning: Within our CTO as a Service cooperation, we’ll help you devise a business plan, a technical strategy, and a project roadmap, as well as design a solution architecture and set up tools and a team to realize your ideas.

Project audit and optimizations: A virtual CTO will audit your tech stack, product architecture, and development processes to uncover bottlenecks halting your business growth. Then, we’ll devise an optimization plan and lead the improvements rollout.

Project Scaling: If you want to branch out your business or integrate new technology, we can do that, too. The virtual CTO will devise a scaling strategy, design the necessary integrations, and advise techs providing for further scalability.

R&D: A virtual CTO will keep an eye on your research and development process, maintain and expand your current technology and compliance policies, and hunt for the best-fitting tech solutions.

Technical Evangelism: With CTO as a Service, you’ll win the next round of investments or land a fruitful partnership. We’ll analyze your product, architecture, tech stack, and workflows and draft a product evolution roadmap to keep stakeholders satisfied

Hire top interim CTOs and part-time CTOs.

We have CEOs and management from top companies and start-ups work.

1) Talk to one of our Industry Experts: A TechWyns Director of Engineering will work with you to understand your goals, technical needs, and team dynamics.

2) Work with Hand-selected Talent: Within days, we'll introduce you to the right CTO for your project. Average time to match is under 24 hours.

3) The Right Fit, Guaranteed: Work with your new CTO for a trial period (pay only if satisfied), ensuring they're the right fit before starting the engagement.

Trusted Experts Only: All of our talent are seasoned experts who ramp up quickly, readily contribute as core team members, and work with you to minimize onboarding time.

Your New Team Member: We are so sure you will love your new team member that you can try working with them for a few days. Pay only if satisfied.

Scale as Needed: Hire talent within 48 hours. Scale your team up or down exactly when you need it, no strings attached.

Seamless Hiring: We handle all aspects of billing, payments and NDAs. Let us take care of the overhead while you focus on building great products.

Flexible Engagements: Choose the engagement type that suits your needs – hourly, part-time, or full-time – with the ability to change anytime.

Expert Talent Matcher: Focus on your project and enjoy support from your dedicated account executive and expert talent matcher.

Our Developer Screening Process

Excellent technical communication: TechWyns developers must possess strong written and verbal communication skills. They work effectively across multiple collaboration tools and convey complex engineering ideas and concepts with ease. 7.4%pass rate

Core skills and algorithms: Each developer is required to demonstrate their computer science fundamentals, problem-solving ability, and technical aptitude to a panel of leading experts. 3.6%pass rate

Proactive problem-solving: TechWyns developers are skilled at tackling roadblocks creatively and independently. Each candidate is live-screened by two top developers where they have to offer multiple paths to the solution and make decisions on the spot. 3.2%pass rate

End-to-End project execution: Our developers deliver a test project to completion, demonstrating their skills across ideating, scoping, implementation, and problem-solving. 3%pass rate

Continued excellence: TechWyns developers are expected to maintain a perfect track record while working with clients. We assess our talent after every engagement to ensure our standards for excellence were met.

What is the difference between a full-time CTO and CaaS?

A CTO as a Service is not much different from a permanent CTO when it comes to the responsibilities it holds within the organization.

Overall, both have to offer support throughout the end-to-end software development process and other tech-related queries by creating the software architecture, articulating a well-defined strategy and a budget to activate it, suggesting the right tech stack for your project, streamlining the workflow through automation where possible and ensuring top quality standards.

Though similar in terms of responsibilities, an important differentiator when hiring an external CTO is the team it brings and specifically the combined seniority of each member and overall versatility of the entire group.

You basically get to collaborate with a synergic group of experts that have worked before on many digital products ranging from different industries, which makes their collective knowledge an asset to any startup.

CTO plays a key role in the venture of an IT company. He acts as the face of technology for the company. In addition to the technological knowledge, he must possess the following skills to become successful in his role.

Leadership Skills: CTO should be an efficient leader to motivate the employees, fill confidence and inspire them to achieve business goals
Communication Skills: He should be able to express the business ideas, vision and goals to his team members as well as stakeholders who are from non-technical backgrounds. Good communication skills will enhance the team’s effectiveness
Decision-making: Being the tech-leader of the company, a CTO should be able to make important decisions regarding technology selection, resource allocation, outsourcing services and changing the third-party vendors
Strategic Thinking: CTO should have the ability to forecast the future needs of the company in terms of short, medium and long term goals. He should be able to lead the team in the right direction with a common goal in mind
Mentoring: CTO’s responsibility is to provide the team with mentorship. He should look out ways in helping the team to grow both with their code and professionally
Willing to learn: He should be up-to-date with the emerging technologies & trends and should possess skills such as curiosity and willingness to learn new technologies
Time Management: He should have good time management skills since he is responsible to set tasks and deadlines for the team

Most of the CTOs have started their career after pursuing an engineering degree in software development or computer science. Apart from these skills, it is necessary to gain experience working on positions such as developer, technical lead and architect. Strong technical knowledge, experience and interpersonal skills can create a perfect CTO and bring success to your business. A Virtual CTO provides CTO services for those companies lacking technical knowledge, decision-making capabilities but have a good idea and are not aware of its implementation.

CaaS responsibilities in startups/ SMEs usually include the following:

Define a clear roadmap and avoid costly aberrations
Build software architecture
Advice on the upcoming technologies and select the proper technology stack for the product
Develop corporate strategy regarding infrastructure and capital to achieve business goals
Design and optimize the workflow for the company
Mentor the team and help them to improve their skills
Helps in building the team by hiring new resources
Fill technical gaps while company searches for a right candidate
Focus on the target markets of the business and deploy IT projects to support customer experiences
Able to solve the technical related issues
Develop a business plan by estimating costs and timelines for the company’s technology development and deployment
Provide expert suggestions on the development platform for your business
Helps you determine whether to outsource development by hiring dedicated engineering teams or build an in-house team
Establish quality standards for software architectures, coding conventions, documentation requirements, and quality assurance processes at the very beginning of your project
Ensure your business scales with growth and survives investors’ technical due diligence reviews
Provide technological recommendations for the app you have already developed but the technology is out of date
Provide advice on tech-related issues

CHIEF DATA AND OPERATING OFFICER

“The difference between the CDO and CIO in my mind is quite clear, and I often use the analogy of the bucket and the water,” Carruthers says. “The chief information officer is responsible for the bucket. They’re responsible for making sure that the bucket is the right size, that there are no holes in it, that it’s safe, and that it’s in the right place. The chief data officer is responsible for the fluid that goes in the bucket, comes out of the bucket, that it goes to the right place, that it’s the right quality and the right fluid to start with. Neither the bucket nor the water work without each other.”

Chief data officer responsibilities

While the chief data officer role was initially focused on compliance and data governance, IDC’s State of the CDO Survey, conducted between February and April 2020, found many chief data officers are now also responsible for using data to drive business outcomes. IDC found that 80 percent of the top KPIs used to measure chief data officer performance are business-oriented. According to IDC, chief data officer responsibilities include:

Governance: Advising on, monitoring, and governing enterprise data
Operations: Enabling data usability, availability, and efficiency
Innovation: Driving enterprise digital transformation innovation, cost reduction, and revenue generation
Analytics: Supporting analytics and reporting on products, customers, operations, and markets

VP Engineering

The VP Engineering role traditionally includes multiple aspects:

Personnel management – for small teams (up to 10 FTE), the VP Engineering is the direct supervisor of the technical staff. For larger teams (> 10 FTE), the VP E often manages contributing engineering managers, who serve as the direct supervisor of the technical staff. For teams at scale (> 100 FTE), the VP E’s direct reports will typically be senior level engineering directors, who in turn manage engineering managers.
Program management and engineering execution – the VP Engineering is responsible for ensuring that the product vision is realized through excellence in execution. There is typically an overall program plan that incorporates all inter-dependencies between functional disciplines (e.g. mechanical, electrical, controls, software), which in turn is a part of a company program plan that incorporates inter-dependencies between departments (e.g. engineering, marketing, business development)
Technical leadership – the VP Engineering is responsible for co-developing the technical strategy with the CTO, and for developing and maintaining a technical roadmap that will continue to innovate from a technical standpoint. The VP Engineering may personally serve as a systems architect, or may assign another engineer to assume that role.
Strategy development – the VP Engineering serves as part of the senior staff, working in an interdisciplinary manner with their peers in other departments (e.g. VP Marketing, VP Business Development, VP Manufacturing and Ops) as well as the CEO, CTO, and COO (if present) to develop company strategy and product strategy.

The VP Engineering is traditionally responsible for managing the annual bottom-up budget for the engineering department, which is often the biggest cost center for a technology-based startup. This includes: headcount, consulting spend, prototyping costs, equipment cost, travel and entertainment, professional development, patent costs and more.

When should a startup bring on a VP of Engineering?

Great founding teams usually sport multiple co-founders with complementary backgrounds – usually, a hacker, a hustler and a designer make a good starting team. At this point in the startup’s lifecycle, the hacker or CTO is typically the only technical guru on board. The hacker / CTO usually serves as an individual contributor, in addition to leading a growing team of technical staff.

As the startup moves past seed stage and starts to hire employees, the hacker/CTO’s role starts to evolve. Once the headcount for the company goes past 15 or 20, the project and people management aspects of the job will start to dominate. Eventually the hacker/CTO might realize they are doing a lot of things that they don’t love (e.g. project and people management) and not spending time on the things that they do love (e.g. technical explorations). This is the time when startups ought to begin to think about bringing on a VP of Engineering.

Key Expertise we can offer

The benefits of TechWyns AI-as-a-service (AIaaS) & MLaaS platforms

Your company can execute AI at a reasonable cost using the AIaaS delivery model without having to develop or maintain a single AI project. Our AIaaS platforms enable organizations to build customized AI services that are adaptable, scalable and simple to use. The following are additional benefits of TechWyns AIaaS systems:

Quick deployment. AIaaS is one of the quickest ways to introduce AI to an organization. It's easy to install and set up. Because there are a variety of AI use cases, it isn't always feasible for a business to create and maintain an AI tool for each one. Customizable options are especially useful, as organizations can deploy AI services quickly and tweak them according to their business needs and constraints.
Low- to no-code skills required. AIaaS can be used even if a company lacks an in-house AI developer or programmer. All that's required is a layer of no-code infrastructure in the enterprise, as generally no coding or technical expertise is needed during the setup process.
Cost-savings. Saving money is the main factor influencing the expansion of AIaaS in the IT industry. AIaaS is cost-effective for businesses because they only pay for usage and AI functionality and don't need to make sizable upfront investments.
Price transparency. In addition to reducing non-value-added labor, AIaaS also offers access to AI with a high level of transparency with service fees. Because most AIaaS pricing structures are based on consumption, businesses only pay for the AI technologies they use.
Scalability. AIaaS is well-suited for companies looking to scale. It's ideal for tasks that don't add significant value yet need some level of cognitive judgment. Because AIaaS employs industrial automation to complete simple tasks without requiring human intervention, team members have more time to focus on other tasks.

What are the challenges of AIaaS?

Price. Purchasing the required hardware and software to start a private cloud computing AI is costly. Add staffing and maintenance costs, as well as needed hardware changes for different tasks, and AIaaS becomes cost prohibitive for many organizations.
Transparency. The majority of AIaaS platforms provide users access to the provider's services but offer little to no transparency into their internal operations.
Security. Data security is a major concern with AIaaS, as data is the basis of AI and businesses must share data with outside vendors. However, data masking and other privacy-enhancing techniques are designed to safeguard an organization's data.
Data governance. Businesses must tightly enforce limits on cloud data storage in highly regulated industries. For example, organizations in the banking and healthcare sectors might find AIaaS challenging to use because they could encounter restrictions such as limitations on how data can be stored, shared and used in the AIaaS platform. .

Types of AIaaS provided by TechWyns

Different AI provider platforms offer several styles of machine learning and AI. These variations can be suited to an organization's AI needs, because they need to evaluate features and pricing to see what works for them. Cloud AI service providers can offer the specialized hardware needed for some AI tasks, such as GPU-based processing for intensive workloads.

The following are some popular types of AIaaS:

Bots. Bots and chatbots are widely employed across all industries. They use NLP to mimic real human speech and are generally used in customer service to provide relevant answers to customers' most frequent queries. Companies save time and resources by responding around the clock and enabling employees to focus on more challenging tasks. A study conducted by AI provider Tidio found that 62% of consumers would rather use a customer service chatbot than wait for human agents to respond to their inquiries.
Machine learning. Businesses use ML to investigate and identify trends in their data, make predictions and learn as they go. This data processing technique is intended to run with little or no human intervention, empowering businesses to employ AIaaS without specialist technical skills. ML comes in a variety of options, from pretrained models to models designed for a particular use case.

Application programming interfaces (APIs).An API is a software bridge that enables communication between two applications. An example of this is a third-party airline booking website -- such as Expedia, Kayak or CheapOair -- that uses information from several airline databases to display all of their deals in one convenient location. Other common uses for APIs include machine vision, conversational AIand NLP applications such as urgency detection or sentiment analysis.

Data labeling. Data labeling is the process of annotating huge amounts of data to efficiently arrange it. It has numerous uses, such as guaranteeing data quality, categorizing data according to size and creating AI. The data is labeled using human-in-the-loop machine learning, which enables both humans and machines to interact continuously and makes it easy for AI to evaluate the data in the future.