API Development
We focus on building reliable and efficient connections that streamline data exchange and improve functionality.
We provide AI integration services to help startups, enterprises, and organizations of all sizes connect artificial intelligence with their core systems and workflows. Our focus is on AI implementation backed by strategic AI consulting.
Understanding Your Needs
We start by understanding your objectives and use cases for AI integration. This involves close consultation to learn how you plan to use the AI solution—whether it’s automating a workflow, improving customer service, analyzing data, or something else. We identify the key business challenges and goals you have, then we set a foundation for an AI integration deployment.
After clarifying requirements, we move on to solution design and data preparation. We select the appropriate AI tools or models (such as machine learning algorithms, NLP models, or computer vision systems) that best fit your use case. Our team then prepares any needed data and integration points—structuring and cleaning your data so the AI can use it effectively and planning how the AI will connect with your existing software.
Next, we implement and integrate the AI solution into your business workflow. This stage involves customizing the AI model or algorithm (and training it with relevant domain data if needed) so that it understands your context and performs optimally for your tasks. We then embed the AI into your applications or processes, for instance, integrating via APIs into your software platform or adding it as a module in your IT ecosystem.
Once the AI integration is successfully done, we test and validate its performance. We evaluate the AI’s outputs for accuracy and consistency. This includes checking that it interacts correctly with other system components and meets the success metrics defined earlier (for example, error reduction or response time improvements). We conduct multiple rounds of testing—first in a controlled environment and then in pilot runs. Any issues are identified and fixed so that when deployed, the AI integration is robust and trustworthy.
After successful testing, we deploy the AI solution into your live environment. Our support doesn’t stop at deployment; we also provide ongoing monitoring and improvement. We monitor the AI’s performance within your operations, watching key indicators and user feedback to catch any drifts or new opportunities. We provide regular updates or tweaks based on this feedback. In addition, as you gather new data or your business processes change, we can retrain or adjust the AI so it remains effective over time.
At Solicy, we bring years of experience in AI development and integration across a wide range of industries. We’ve worked on AI projects for the finance, healthcare, retail, and technology sectors. This industry expertise means we don’t deliver one-size-fits-all solutions—we provide custom AI integrations that are customized for the specific challenges and opportunities of your business. Our approach is consultative and client-focused: we take the time to understand your operations and goals, then develop AI solutions that truly fit.
Our team consists of skilled AI engineers, data scientists, and consultants. We have deep knowledge of machine learning algorithms, natural language processing, computer vision, and more, as well as the software engineering skills to deploy these solutions reliably. In short, we’re not just researchers; we’re practitioners who know how to make AI work in the field. This experienced team stays up-to-date with the fast-moving AI landscape, from new model architectures to best practices in MLOps (Machine Learning Operations).
Whether you’re a startup taking the first steps with AI or an enterprise looking to scale up, our solutions are designed to scale and adapt with your needs. We build AI integrations with a long-term perspective, using architectures and cloud infrastructures that can grow in capacity as your user base or data volumes grow, without major redesign. If you start with a small pilot project, we ensure that the solution can be extended across your organization when you’re ready.
We’re proud of our track record in delivering successful AI projects for clients, and we believe a big part of that is our commitment to communication. From day one, we set clear timelines and milestones, and we keep you updated at every step of the integration process. You’ll always know what we’re working on, what’s coming next, and how things are progressing. We also involve your team in reviews and testing, incorporating your feedback to ensure the solution meets your expectations. If challenges or changes come up, we discuss them openly and adjust plans together – no surprises.
Riggs Eckelberry
President & CEO at OriginClear, Inc
We had a strict launch timeline. Solicy helped finish the design, corrected errors, developed the site end-to-end, and ensured everything worked smoothly after going live.
Solomija Bodnar
Head of Marketing at Incode group
Working with Solicy was exceptional: their blockchain and Web3 expertise produced a secure, reliable DEX with smart contract audits and an intuitive, user-friendly interface.
Antoine Keosseian
We were really impressed with our interaction with Solicy and think of their team as a professional bunch that can be relied on even with the most complex of tasks.
Lidiia Zhadiaieva
The Solicy team launched the DEX with smooth wallet integration and strong user engagement. Security audits showed no issues, and the platform handled high traffic well.
Lara K.
Head of Digital Transformation Unit
Solicy team was reliable and went the extra mile—even working weekends. Great job delivering on time. I’ll definitely hire them again. Thanks!
We serve a diverse range of industries — not just the ones listed below. If your sector isn’t mentioned, there’s a good chance we’ve worked in it too Let’s talk.
We build online learning software for schools, EdTech companies, and instructors—virtual classrooms, apps, and testing platforms that improve student interest, simplify teaching, and help track and enhance student progress.
Release AI potential into tangible business value. We design intelligent systems that automate, uncover insights, and enhance decision-making, allowing businesses to innovate and solve real-world problems with confidence.
AI integration is basically embedding AI technologies into your core business workflows. Instead of using AI as a separate tool, integration means connecting AI systems (like machine learning models, chatbots, or analytics engines) directly with your existing software, processes, and data. By doing so, AI becomes a seamless part of your operations, supporting advanced automation, uncovering deeper insights from your data, and helping create more personalized, intelligent experiences for users.
AI integration typically works by identifying the right AI solution for a task and then connecting it with your data and systems. The process usually starts with defining a clear use case, for example, “automate customer support with an AI chatbot” or “use AI to predict maintenance needs from sensor data.” Once the goal is set, the next steps are selecting or developing an AI model suited to the task, preparing any data that the AI needs, and then adding the AI into your software. The embedding can happen via APIs, custom application development, or using AI platforms that plug into your workflows.
Using a generic AI tool (say, a publicly available AI service or an off-the-shelf model) can provide some quick benefits, but it won’t capture the nuances, such as data or specific terminology. With an integrated AI system in your own processes, especially with customization, you ensure the solution is optimized for your context. Think of it like having a suit tailored versus buying one off the rack. A tailored (integrated) AI system will align with your workflows, use your proprietary data, and understand your industry’s jargon or special requirements. This means the outputs and insights it provides are more relevant and accurate for your situation. In contrast, a generic AI might give less precise results because it wasn’t designed for your particular use case. It becomes part of your competitive advantage; the AI is working with your internal knowledge and datasets (which others don’t have) and delivering value unique to you.
Yes, supporting our clients after the integration is an important part of our service. We don’t just hand over an AI system and walk away; we provide ongoing assistance to make sure that the solution continues to perform and deliver value. This post-integration support consists of three main elements:
Monitoring performance: After deployment, we closely monitor how the AI solution is performing in your real-world environment. This involves tracking key metrics (accuracy, response times, error rates, etc.) and confirming that the AI is functioning as expected.
Making updates based on feedback: We actively respond to feedback from your team and your end-users. If something isn’t quite meeting expectations or if new needs arise, we’re ready to make adjustments. This could mean refining the AI’s algorithms, adjusting thresholds for alerts, improving a chatbot’s responses, or adding new features.
Adapting to your evolving data and business: Businesses and data are not static. You might expand to new markets, introduce new product lines, or simply accumulate more data over time. We offer the service of retraining or recalibrating the AI models at scheduled intervals (or on demand) to account for these changes. For example, if you integrated a predictive model, we can retrain it with the latest data so it stays accurate. If your business processes change, we can modify the integration so the AI continues to fit.
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We focus on building reliable and efficient connections that streamline data exchange and improve functionality.
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