API Development
We focus on building reliable and efficient connections that streamline data exchange and improve functionality.
Solicy builds AI agents that do real work: reading documents, calling APIs, updating your CRM, and making decisions based on rules you define. We've delivered 45+ AI projects with a team of 30+ engineers, and our work is reviewed on Clutch, TechBehemoths, and GoodFirms. If you need an agent that fits how your business actually runs, not a generic chatbot, this is what we do.
We build agents that handle repetitive work: answering routine emails, generating reports, updating records in your CRM. Each agent is trained on your own data and your own process, not a generic template, so it behaves the way your team already works.
Every business automates differently. We design agents around your actual workflow instead of forcing your process into a pre-built tool. If you also need the agent to write, summarize, or generate content as part of its job, this often pairs with our <a href="https://solicy.net/ai/generative-ai-development-services">generative AI development</a> work.
We build assistants using GPT, Claude, or Gemini that hold context across a conversation and can take real actions through backend integrations, not just answer questions. If you're deciding between a simple chatbot and a full agent, our <a href="https://solicy.net/ai/ai-chatbot-development-services">AI chatbot development</a> page breaks down the difference.
These agents pull answers from your own knowledge base before responding, so they stay accurate to your documentation instead of guessing. Common uses: customer support, internal help desks, policy lookup. Works well alongside <a href="https://solicy.net/ai/llm-fine-tuning-services">LLM fine-tuning</a> when you need the model to also match a specific tone or format.
For work that needs more than one specialist, we build systems where separate agents each own a task and pass information between each other. Used for research pipelines, simulations, and AI-native platforms with several moving parts.
We connect agents to Slack, your CRM, internal APIs, databases, and cloud infrastructure, so the agent isn't isolated from the rest of your stack. If the agent needs a new API built to talk to a legacy system, our <a href="https://solicy.net/software/api-development-services">API development</a> team handles that as part of the same project.
Building an AI agent that actually works in production takes more than connecting to an LLM. Here's the process we follow on every project.
We start with a technical consultation to define what your AI agent must do—respond to users, complete tasks, call APIs, or retrieve documents. We map out workflows, data sources, and context boundaries. This shapes everything from the agent’s memory strategy to its action planning.
Next, we design your agent’s architecture. Depending on the use case, we may implement single-agent, multi-agent, or hierarchical setups using tools like CrewAI, AutoGen, or LangChain. We define how the agent handles memory, tool use, function calls, and interaction with vector databases like Pinecone or FAISS.
We connect the agent to LLMs (e.g., GPT-4, Claude, Gemini) and configure it for Retrieval-Augmented Generation (RAG) where needed. This includes integrating vector databases, crafting advanced prompts, managing context windows, and ensuring grounding in your internal knowledge base.
We build secure bridges between the AI agent and your infrastructure—CRM, Slack, Notion, APIs, internal databases, or cloud platforms. The agent is then deployed with CI/CD pipelines, observability tools, and fallback mechanisms to ensure enterprise-grade reliability.
Post-launch, we monitor the agent’s decisions, latency, and output quality. We fine-tune prompts, add new capabilities, or retrain components based on usage patterns and performance logs. This ensures your agent continues to evolve alongside your business needs.
Solicy has deep experience building high-performing AI agents—from LLM-powered assistants to autonomous task solvers. Each solution is trained on relevant data, integrates with APIs and backend systems, and is designed to scale. Our team has delivered across industries, reducing time-to-value while meeting complex technical requirements.
AI agent development is complex—it demands advanced modeling, orchestration, and infrastructure. Solicy simplifies this with a transparent, proven process. Clients trust us to build agents customized to their workflows and data, using open-source or enterprise-grade tools. With us, you avoid costly mistakes and move faster with confidence.
Skip months of recruiting—our developers get started in 2–6 weeks. With expertise in LLMs, reinforcement learning (RL), RAG, and prompt chaining, Solicy engineers work with your team seamlessly. We provide maintainable, well-documented solutions designed for real-world performance and long-term success.
AI Blog Writing Tool
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AI software development
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.
Construct secure, intuitive financial products using our customized banking apps, payment systems, and analytics platforms—designed to protect customer data, facilitate compliance, and propel your business forward more quickly.
An AI agent is software that can carry out a task on its own: reading a request, deciding what to do, and taking action, rather than just answering a question. Unlike a basic chatbot, it can call APIs, retrieve documents, and complete multi-step work without a person guiding each step.
We build with LangChain, AutoGen, and CrewAI for orchestration, and connect to OpenAI, Claude, Gemini, or open-source models through Hugging Face depending on the use case. The choice of tools depends on your budget, data privacy needs, and how much control you want over the agent's logic.
A custom agent gives you tighter integration with your existing systems, more control over how it makes decisions, and better data privacy than an off-the-shelf tool. You're not stuck with someone else's assumptions about how your business runs.
Yes. We design for scale from the start: load handling, observability, and fallback behavior so the agent keeps working reliably across teams and departments, not just in a demo environment.
We build the APIs and connectors needed to link the agent to your CRM, ERP, or internal tools, without requiring you to change your current setup. Integration work is scoped during the first technical consultation.
After launch, we track the agent's decisions, response times, and accuracy. We adjust prompts, retrain components, and add capabilities as your needs change. Support terms are agreed on a per-project basis.
A chatbot answers questions using a script or a language model. An AI agent goes further: it can decide what action to take, call outside systems, and complete a task end to end. If you're not sure which one fits your use case, our AI chatbot development page covers where a chatbot is enough and where you need a full agent.
A single task-oriented agent usually takes [X-X weeks] from kickoff to launch. A multi-agent system with RAG and several integrations takes longer, typically [X-X weeks], depending on how many systems it needs to connect to.
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We focus on building reliable and efficient connections that streamline data exchange and improve functionality.
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