Custom Blockchain Development
We deliver scalable, secure blockchain platforms designed for efficiency, transparency, and reliability.
We build AI products that turn a business problem into a working model, then into a product your team and your customers can actually use. We handle the data work, the model training, the integration into your existing systems, and the support after launch.
Before any development starts, we look at your data, your current systems, and the problem you're trying to solve, and give you a straight answer on whether AI is the right approach and what it would take to build.
We build machine learning and predictive models trained on your own data, for tasks like scoring, classification, forecasting, and anomaly detection.
We build tools powered by large language models, including chat assistants, content generation tools, summarization tools, and search that understands plain language questions instead of keywords.
We connect the AI model into your existing software, whether that's a web app, mobile app, internal tool, or a system you already have running, so it fits into how your team already works instead of becoming a separate tool nobody uses.
We set up the pipelines needed to deploy models reliably, including version control, testing environments separate from production, and automated deployment so updates go out without breaking what's already live.
Once a product is live, we track how the model performs against real outcomes and retrain it as your data changes, so accuracy doesn't quietly decline over time.
We create custom AI solutions that optimize operations, enhance customer engagement and boost efficiency in industries like healthcare, finance and retail.
We start by talking to the people who will use and manage the product, not just the people who requested it. We want to know what's slow, what's manual, and what decisions are currently made on guesswork. From there we map out where AI can realistically help and where it can't.
We turn those findings into a plan: what data is needed, what kind of model fits the problem, and how the solution will fit into your current workflow. We also flag what it will take to scale the product later, so you're not rebuilding it in a year.
We build and train models using your data. Depending on the problem, this might mean a machine learning model, a fine-tuned language model, or a computer vision system. We test against your actual goals, not just accuracy on paper, then integrate the model into your app or platform.
We deploy the product with separate testing and production environments, automated deployment pipelines, and version control through Git. The goal is that updates go out without breaking what's already running.
Once the product is live, we monitor how it performs against real usage, not just test data. We retrain models as needed and ship updates as your business changes.
As an AI product development firm, we design tailored AI solutions that streamline operations, enhance customer interaction, and boost efficiency across sectors like healthcare, finance, retail, travel, and hospitality.
The same team that scopes the project builds, deploys, and supports it. You're not handed off between departments.
We stay involved after the product ships: fixing issues, retraining models as your data changes, and adjusting features based on how people actually use it.
Our team includes ML engineers, data scientists, AI researchers, and product managers. You get input from the people doing the work, not just account managers relaying information.
With us, there are no financial surprises. All costs are communicated clearly upfront—ensuring you’re never faced with unexpected charges.
Daily updates, weekly check-ins, and direct access to the team if something comes up.
AI Recruitment
HR Automation
Sales Automation Platform
Maria Dzhevaha
Senior Project Manager at CoProductivity
Partnering with Solicy was impressive: they built blockchain software, dApps, DeFi, smart contracts & AI apps. Collaboration was seamless.
Piran M.
Head Of Project Management
The Solicy team is great, working tirelessly on complex projects. What sets them apart are their leadership and communication skills.
Hakim Bousba
The Solicy team delivered an AI-powered recruitment platform that reduced time-to-hire by 40%, improved candidate quality by 30%, and automated 50% of tasks.
Abhinav Singh
Solicy handled our dApp's technical integration, delivering strong blockchain and back-end infrastructure that worked seamlessly with our front-end for smooth UX.
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.
It's the process of building a product powered by AI, from defining the problem you're solving through deploying a working model your team or customers can use. It includes the data work, model training, integration into your existing software, and the testing needed to confirm it actually works before launch.
AI can speed up parts of product creation, like analyzing data to spot gaps in the market, generating early design options, or building working prototypes faster than a manual process would. It doesn't replace the people deciding what to build or why. We use AI as part of the process, not as a replacement for product strategy.
Defining the problem you're trying to solve, preparing and cleaning the data the model will learn from, building and training the model, and deploying it into a working product. Each stage depends on the one before it. Skipping data preparation, for example, is the most common reason AI products underperform after launch.
If you have a process that depends on manual review, pattern recognition, or repetitive decisions, like reviewing applications, flagging anomalies, or recommending next steps, an AI product can usually do it faster and more consistently. The benefit depends on the specific problem, which is why we start every project with a conversation about what's actually slowing your team down.
Depending on the project, we work with machine learning models, natural language processing, computer vision, and predictive analytics. We pick the technology based on the problem you're solving, not a fixed stack we apply to everything.
We sign NDAs before any data is shared, and we build with data security practices that match the regulations relevant to your industry, including healthcare and finance where the requirements are stricter. If you have specific compliance needs (HIPAA, SOC 2, GDPR), tell us during the first conversation so we can design around them from the start.
Yes. We monitor performance, retrain models as your data changes, and make updates as your business needs shift. AI products tend to drift over time as real-world data changes, so ongoing maintenance is part of keeping it accurate.
Book a call. We'll talk through the problem you're trying to solve and tell you honestly whether AI is the right fit before we talk about building anything.
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