End-to-End AI Agent Development

At SCAND, we govern the whole process of AI agent development, from guiding you through your use case and system design to securely deploying the solution and integrating it into your tools. Here’s what we offer:

  • AI strategy and consulting: We help you determine the best use case, choose the right model, and check that it makes business sense.
  • Custom AI agent development: We develop agents that can think, apply certain tools, remember things, and learn from day to day.
  • Multi-agent systems: We develop sets of agents that can plan, reflect, and get work done collectively.
  • Workflow and process automation: We create AI agents that run routine operations, coordinate tasks, and help teams move less manual effort.
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Years of Experience
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Full-Time Engineers
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Customers Worldwide
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Successful Projects

Types of AI Agents We Develop

At SCAND, we build many kinds of AI agents — some simple, some more advanced — depending on what your business needs. Here’s a quick look at the types we create and what they’re good at:

Simple Reflex Agents

Simple reflex agents respond to familiar inputs with quick, rule-based reactions. They're perfect for tasks like answering easy questions or alerting to a condition when something happens.

Goal-Based Agents

Goal-based agents don't react to an input — they work towards a goal. We build custom agentic workflows that help them break big goals into smaller tasks and choose the right tools at the right time. Whether it’s pulling data, calling an API, or working with other systems, these agents know how to get things done step by step.

Memory & Learning Agents

Memory & learning agents remember data and learn from it. They get better over time at their job, so they're perfect for a personalized experience or maximizing outcomes based on feedback. To help them stay efficient, we can apply summarization techniques, which means they keep only the most important information, so the agent doesn’t get overwhelmed and focus on what matters.

Multi-Agent Systems (MAS)

Multi-agent systems (MAS) are composed of many agents working together as a team. One can plan, another can act, and the third can check outputs. Such a setup is perfect for controlling complex processes requiring coordination and allows you to use the strengths of different LLMs, each specializing in a particular area.

API-Interacting Autonomous Agents

API-interacting autonomous agents are built to interface with other software. They are able to make API calls, pull in data, and execute actions autonomously, which is ideal for automating parts of your system or linking tools.

Domain-Specific Agents

Domain-specific agents are built to work within specific industries, such as finance, retail, healthcare, or law. They learn your industry-specific slang and business processes, be it helping with KYC checks, suggesting products, or validating documents.

HITL AI Assistants

HITL (human-in-the-loop) agents combine the strength of automation with human touch. They accomplish most of the task but hand things over to humans where it counts to double-check or make a critical decision.

Edge/On-Device Agents

Edge or on-device agents run directly on phones, tablets, or other devices. They are speedy, stable, and not necessarily internet-connected all the time, which makes them ideal for mobile apps or IoT devices.

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Trusted Software Development Company

Being a customer-oriented software development firm we implement best-in-class practices for our clients to succeed. For 20 years' history we have managed to compile an impressive list of global customers: NASA, IBM, Cisco, FedEx, Bank of America, Dresdner Bank, Reuters, Yahoo!, Siemens, Merrill Lynch, and many other Fortune 500 companies. Our dedicated development teams are here to ensure your success and provide you with the support on every stage of the software development process.

Who Can Benefit from AI Agents?

AI assistants are ideal for any team that is eager to save time, automate workloads, and quickly produce results. They take care of everyday tasks, connect tools and data, and let your team do what is most important.

AI agents can contact leads on your behalf, follow up with prospects, keep your CRM up to date, and set up appointments. They maintain your pipeline full and flowing with no extra effort from you.

AI agents can post social messages, generate reports, organize customer data, and even create campaign step plans. They speed up content creation and deployment time for creative and strategy work.

For customer support teams, AI agents can communicate with customers, answer typical questions, and address simple issues in real-time — 24 hours a day, 7 days a week.

Agents can be used to monitor tasks, send alerts between tools, and run actions under certain conditions. It keeps teams ahead of things and prevents anything from falling through the cracks.

Internal AI copilots can be used to explain parts of the codebase, automatically generate documentation, and aid in testing or bug tracking.

Custom AI agents can read through long documents, highlight relevant data, verify compliance issues, speed up data entry, and catch errors.

AI agents can answer questions about products, make suggestions, process returns, and follow up with customers after a purchase.

SaaS companies can employ generative AI agents to aid new customers, answer product questions, summarize papers, and handle in-app support.

Our Development Process

When developing software, we always follow a clear, step-by-step process to make sure every AI agent we build is practical, resilient, and ready for real business use.

  • 2. Architecture Design & Model Selection

    Next, we design the overall architecture of your AI agent. This means choosing the right reasoning model, memory architecture, decision-making mechanism, and technology stack. Also, custom fine-tuned LLM can be prepared on customer dataset to make answers of the model more precise.

  • 3. Prototyping, Development & Tool Integration

    Then, we build a simple prototype or MVP to test how the agent works in practice. This helps us confirm that everything’s on the right track. Once it’s approved, we move into full development.

  • 4. Testing & Safety Validation

    Prior to deployment, we thoroughly test the performance of the agent. We check how it handles edge cases, confirm its alignment with your goal, and prove it operates safely even when everything gets messed up.

  • 5. Deployment, Monitoring & Optimization

    Subsequently, we send the agent to your production environment. We keep a close eye on how it performs, watch metrics using in-built monitoring tools, and continuously update for better accuracy and stability.

  • 1. Discovery & Requirements Definition

    We begin by sitting down with your team to understand your goals, processes, and challenges you're looking to overcome. That way, we can figure out what kind of AI agent you actually require and how it will fit into your everyday operation.

Industries We Serve

We develop AI agents that solve real problems across many industries. Whether it's helping your employees save time, work smarter, or deliver better service, we do our best to adjust each solution to your goals and workflows.

For those in finance and banking, we create AI agents that help with fraud detection, customer onboarding, compliance screening, reporting, and financial advisory. They can integrate with your systems, follow strict security policies, and make daily operations well-coordinated.

Our agents help online store owners do product searches, recommend products, answer customers' queries, follow up on orders, and even handle returns. In the background, they can also track inventory, auto-restock, and help boost sales without any extra effort on your team's part.

In healthcare, we develop agents that can help patients schedule appointments, answer routine health questions, and guide them through treatment plans. For doctors and staff, agents can speed up record-keeping, extract insights from documents, and inform decisions.

In logistics, our agents track shipments, manage inventory, and flag delays before they cause problems. They can even suggest better delivery routes or help plan around disruptions.

In real estate, we create agents that assist buyers and renters in finding suitable properties, answering inquiries, conducting market state, analyzing investment portfolio, finding profitable opportunities, and scheduling viewings. They can also aid realtors in handling listings, qualifying leads, and improving contract procedures.

We also build agents that read legal documents, highlight key information, summarize content, and scan for potential risks. They cut down research time and document review time, and make lawyers and compliance teams more productive and up-to-date with regulations.

Why SCAND?

Why SCAND

With over 25 years in software development and a proven track record delivering enterprise-grade AI solutions, SCAND is a trusted partner for businesses exploring the future of automation.

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    In-house AI/ML and MLOps teams:

    We have talented engineers, data scientists, and MLOps specialists who do it all in-house, from model training to logic building, deploying, and maintaining your agents.

  • 2

    Transparent development and milestone tracking:

    We keep you in the loop every step of the way. You'll get constant updates, demo sessions, and milestone check-ins so you're always informed and can give us feedback early on.

  • 3

    Continuous support, retraining, and DevOps integration:

    Our job doesn't end with deployment. We help you monitor your AI agents in action, retrain them when and where needed, and plug all of it into your existing DevOps pipeline.

  • 4

    ISO-certified quality and security practice:

    We are committed to quality and security. SCAND holds ISO 9001 and ISO 27001 certificates, so your software is constructed and handled in accordance with the highest industry standards.

Key AI Technologies and Frameworks

We use modern AI technology to build smart and resilient AI agents that can scale. From strong language models to tools that allow agents to plan, remember, and act, having the right technologies in place, we bring your AI ideas to life.

LLM models

  • OpenAI: GPT‑4+, o3, o4
  • Anthropic Claude
  • Google: Gemini 2.5 Pro/Flash
  • Meta’s LlamA 3+/4
  • Mistral / Mixtral
  • Qwen 2.5/3
  • DeepSeek R1
  • T-lite/T-pro

Frameworks & Orchestration

  • LangChain
  • LangGraph
  • LangSmithLlamaIndex
  • AutoGen (Microsoft)
  • CrewAI
  • Smolagents

Programming & ML Tools

  • Python, FastAPI, NumPy, Pandas
  • PyTorch, TensorFlow
  • Docker, Kubernetes

Vector DBs & Tooling

  • Pinecone, Qdrant, Weaviate, Milvus, FAISS, PostgreSQL + pgvector

Infrastructure & DevOps

  • AWS, Azure, GCP, Groq, Runpod
  • PostgreSQL, Redis

Latest reviews from our clients

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Sr. Account Director Mid-Market
Coupa Deutschland GmbH

It was a great experience working with Scand on e-Procurement projects during my time at OpusCapita. The team was professional and competent. Keep up the great work!

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Managing Director
prodexa GmbH

The Scand team has been an incredibly reliable and skilled development partner for jCatalog for many years, consistently delivering high-quality services with a proactive approach.

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Chief Technology Officer
Wiztech Group

Great work on our products — web applications in the gaming domain. The Scand software developers worked highly professionally and made valuable contributions to the successful implementation of every project they were involved in.

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Sales & Marketing Manager, Smartstaff AS

Throughout our long-standing collaboration, the team has consistently delivered high-quality service. Over time, we’ve developed a strong and genuinely friendly working relationship, which has positively influenced the outcomes of our joint efforts.

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Product Manager
jCatalog Software AG (or OpusCapita GmbH)

Over the years of working together, the Scand team has always been a reliable pillar of support for me. Along the way, we’ve built not only a strong professional relationship but also meaningful personal connections. It has truly been a pleasure collaborating with you.

Engagement Models & Pricing

At SCAND, we understand that every project is unique, and we offer flexible engagement models to suit your specific project needs.

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Project-Based Model

Every AI project is different — some are quick experiments, others need constant cooperation. At SCAND, we offer flexible ways of collaborating, so you get exactly what is appropriate for your needs, goals, and budget.

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Fixed-Price Projects

A fixed-price model is perfect for project work with established timelines and goals, such as developing a proof of concept (PoC), MVP, or autonomous AI agent. We set the scope, budget, and timelines upfront so you know exactly what you're getting. No surprises, just hassle-free delivery.

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Need a dedicated team just for your product? We can provide a full team of AI developers, ML engineers, DevOps team members, and project managers only for you. It's appropriate for growing or complex projects that involve flexibility and long-term nurturing.

How to start working with us?

Our AI Project Use Cases

AI technologies are highly flexible and can be tailored to serve different roles across industries. Below are some of the most impactful AI solutions we’ve delivered to our clients.

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