Software development services: AI, IoT and enterprise software

SumatoSoft provides software development services: applied AI (consulting, AI agents, RAG, LLM and GenAI development), IoT and AIoT (enterprise IoT, predictive maintenance, IoT security), custom and enterprise software (product development, MVPs, legacy modernization), and industry solutions. Each service below links to its own page with scope, process and case studies.

Toyota logo
Beiersdorf logo
ClimeCo
TL Nika
Dexai logo
SMI logo
Tartle
Daiokan logo

Business challenges we solve

As a company grows, its software decides how fast teams move and how clearly leaders see the business. It also decides how much control the company has over operations. Our custom software development services replace that friction with systems built around your workflows, data and growth plans.

Integration into operational workflows-02

Manual workflows slow execution

We turn repeated manual work into digital workflows. Approvals, handoffs, reporting and document processing become easy to track and improve across teams.

Legacy code-02

Legacy systems limit growth

We modernize legacy software so you can extend core systems, connect new tools and support new processes. You keep what works and replace the rest in stages.

Coordinated-system-architecture

Disconnected systems reduce visibility

We connect CRM, ERP, analytics, IoT, finance and operations platforms into one environment. Leaders get cleaner data and clearer reports.

Business processes automation

Generic tools force process compromises

We build custom applications that match how your company works. They fit your workflows, your users and your product roadmap.

Our services

Every service combines senior engineering, business analysis and architecture with long-term delivery ownership. We build software that fits how you operate, connects to the systems you already use and stays maintainable as you grow.

Get a free project estimate from our team.

AI and agentic development services

We turn company knowledge, workflows and operational data into production AI systems. The path runs from a readiness assessment and proof of concept to AI agents, RAG systems, LLM integrations and GenAI applications connected to real business processes.

AI Readiness Assessment

This assessment evaluates your data, infrastructure, workflows, and business use cases to define where AI can create practical value. The result is a clear implementation roadmap, technical priorities, and the next steps required to move toward production.

AI PoC Development

AI PoC development validates a selected use case before full-scale implementation. Your team can test feasibility, business value, data quality, integration needs, and user adoption potential within a controlled scope.

AI Agent Development

Our AI agent development services create systems that work with tools, business applications, internal data, and multi-step workflows. These agents support research, operations, customer service, reporting, knowledge retrieval, task automation, and decision support.

RAG Development Services

Our RAG development services connect LLMs with company knowledge, turning internal content into a usable source for search, summarization, and contextual answers. Typical sources include documents, policies, product data, customer information, and operational records.

LLM Development

We cover model selection, prompt architecture, private deployment, evaluation and integration with your existing software. The result is an LLM layer that fits your use cases and technical constraints.

GenAI Development Services

Our GenAI development services support text, image, structured content, document processing, analytics, and workflow automation. Each application is designed around business use cases, user roles, data access rules, and practical adoption inside the company.

IoT and AIoT development services

We build IoT and AIoT systems that connect devices, equipment, facilities and field operations to your business software. Our team writes device firmware and builds edge applications, data ingestion, cloud infrastructure, dashboards, analytics and integrations. Board and PCB design goes through a hardware partner.
AIoT moves connected systems from monitoring to prediction. We add machine learning for anomaly detection, predictive maintenance and forecasting, so teams can plan around how equipment actually behaves.

Enterprise IoT development

We build enterprise IoT systems for connected products, industrial assets, facilities, vehicles, equipment and distributed operations. The architecture can include device onboarding, secure communication, telemetry processing, cloud infrastructure, dashboards, admin tools, access control and integrations with ERP, CRM, maintenance, logistics or analytics platforms. Leaders get a clear view of asset performance, and teams work with the same data across the systems they already use.

AIoT development

Our AIoT development work covers systems that combine IoT data with machine learning, analytics, and automation. These solutions turn telemetry and operational data into anomaly detection, behavior modeling, predictive maintenance, forecasting, automated alerts, and decision-support dashboards.
For the business, AIoT creates a more advanced management layer over connected operations. Teams receive clearer signals from equipment and processes, while leadership gains better visibility into performance, service needs, and operational priorities.

Predictive maintenance software development

Our predictive maintenance software development covers systems that analyze equipment data and support maintenance planning based on actual asset behavior. These systems can collect data from sensors, machines, IoT platforms, maintenance logs, and operational software, then organize it into models, dashboards, alerts, and workflow integrations.
The business value is stronger asset visibility, more data-driven service planning, and better control over equipment reliability. Maintenance teams can prioritize work with clearer context, while leadership can track uptime, utilization, and service efficiency across critical assets.

IoT for manufacturing

We develop IoT systems for manufacturing environments where production visibility, equipment performance, quality control, and facility operations need to be connected in one digital layer. These systems can collect data from machines, sensors, production lines, warehouses, and enterprise platforms.

A manufacturing IoT solution can include machine monitoring, production dashboards, downtime tracking, quality-control data, energy monitoring, maintenance alerts, and integrations with ERP, MES, WMS, or analytics tools. Executives receive a clearer view of throughput, constraints, asset performance, and production efficiency.

IoT security and compliance

We design IoT systems with secure communication, controlled access, encrypted data transfer, infrastructure protection, and governance across devices, users, and cloud services. The architecture can include device authentication, role-based access control, secure APIs, encrypted telemetry, protected cloud storage, audit logs, monitoring, and update mechanisms.
For enterprise and regulated environments, this creates a governed foundation for connected operations. Companies can expand device networks, add users, integrate new systems, and introduce AI capabilities within a controlled technical architecture.

We strive to become a technological partner to our Clients, which means a lot to us. It’s about saying no to unfeasible ideas, offering proactive and practical advice, maintaining open and honest communication, and avoiding unrealistic expectations. We help minimize unnecessary costs and stay in touch like a trusted personal assistant, ensuring every decision delivers genuine value.

Which dev path fits your business?

Every company reaches a different point in its software journey. Some need a new platform built from scratch. Others need to modernize a system that already supports core operations. Some need to connect existing tools into one coordinated environment.

The right path defines the architecture, scope, budget, and delivery roadmap before development starts. This gives the project a clear technical direction and keeps every decision connected to business goals from day one.

Build from scratchBuild from scratch
Modernize an existing systemModernize an existing system
Integrate your software ecosystemIntegrate your software ecosystem

Build from scratch

For companies launching a new product, internal platform, customer portal, SaaS solution, or operational system.

Custom software development from scratch gives your business a system shaped around its workflows, users, data, and growth plans. The result is a product built around your business logic from the start, with clean architecture, full code ownership, and room for future evolution.

Best fit when you need to:

  • Launch a new digital product
  • Replace manual workflows with a dedicated system
  • Build a customer-facing platform
  • Create software around a unique business model
  • Move from idea to MVP or full-scale product

Modernize an existing system

For companies with software that still supports the business and needs a stronger technical foundation.

Legacy software modernization extends the value of the existing system through refactoring, re-platforming, cloud migration, UX improvement, architecture redesign, and phased feature replacement. The system becomes easier to maintain, scale, and improve while continuing to support daily operations.

Best fit when you need to:

  • Improve an aging internal platform
  • Update outdated architecture
  • Move software to the cloud
  • Improve performance and usability
  • Prepare the system for new integrations, AI, or IoT capabilities

Integrate your software ecosystem

For companies that already use several systems and need them to work as one connected environment.

Software integration creates reliable data flows and coordinated workflows across ERP, CRM, IoT, analytics, billing, logistics, finance, and operational platforms. Leadership gets better visibility, while teams work with consistent, connected information across the business.

Best fit when you need to:

  • Connect business-critical systems
  • Unify data across departments
  • Automate cross-system workflows
  • Improve reporting accuracy
  • Create a foundation for AI, analytics, or operational dashboards
Path When it fits First step Related service

Build from scratch

A new product or system built around your processes, with full code ownership

Discovery

Software product development

Modernize an existing system

Software still runs operations but needs better architecture, cloud readiness or usability

System and code audit

Legacy software modernization

Integrate your software ecosystem

Business systems need one coordinated data flow

Map of systems and data flows

Enterprise software development

PCI badge icon
owasp badge icon
ISO compliance badge icon
HIPAA badge icon
gdpr badge icon
fisma compliance badge icon

Industries we support

Each industry has its own workflows, rules and data. We build for that context, so the software fits how you sell, serve customers and run operations.

Manufacturing

Custom manufacturing software development

Healthcare

Healthcare software development

Logistics

Logistics software development

Fintech

FinTech software development

Edtech

Education software development

Adtech

AdTech and MarTech software development

How we deliver

Every project follows a structured software development lifecycle with senior technical ownership and clear delivery stages. Engineers use AI assistants for selected tasks, and senior engineers review the results. AI and agentic systems also go through our Agentic Development Lifecycle (ADLC), which adds evaluation of model outputs before release.

1
Business and technical alignment

Every engagement starts with a clear understanding of the business goal, target users, operational context, and technical constraints. We define what the system should achieve, how it should support the business, and which architectural decisions will shape delivery.

At this stage, we clarify requirements, review existing systems, identify integration points, and prepare the initial delivery direction. This gives the project a practical foundation before development begins.

2
Architecture and delivery roadmap

The solution architecture defines how the product will work, scale, integrate, and evolve. We plan the core system components, data flows, user roles, security requirements, and infrastructure approach.

You receive a delivery roadmap that connects product scope, engineering priorities, team composition, budget assumptions, and release planning. Every major decision has a clear business and technical reason behind it.

3
AI-assisted engineering under senior supervision

AI assistants support selected engineering tasks, documentation, code analysis, test preparation, and development acceleration. Senior engineers remain responsible for architecture, implementation quality, code review, security decisions, and final delivery standards.

This gives the team a structured way to use AI while keeping technical ownership clear at every stage of the project.

4
Development, validation, and release

Development moves through planned iterations with regular reviews, demos, testing, and delivery checkpoints. Each release candidate is validated against functional requirements, acceptance criteria, integration behavior, performance expectations, and user experience.

For AI-powered systems, validation also covers output quality, retrieval behavior, model responses, data boundaries, and workflow reliability where relevant.

5
Post-launch support and product evolution

After launch, we support the product through monitoring, maintenance, improvements, and roadmap-based development. The system continues to evolve with business needs, user feedback, new integrations, and future product goals.

This keeps the software aligned with the company’s operations after the first release and gives leadership a stable engineering partner for long-term growth.

Core tech stack we work with

Type Tech stack

AI foundation models

Amazon Bedrock, Mistral AI, Azure OpenAI, Anthropic Claude, Meta Llama

Orchestration and agent frameworks

LangChain, LlamaIndex, AutoGen, CrewAI

Software development

Java, .NET, PHP, Ruby on Rails, Python, Node.js, JavaScript, React

Mobile development

iOS and Android

Quality control practices  

Internal guidelines set the quality standard for every project we run.

Accurate and realistic cost estimation

Accurate and realistic cost estimation

We analyze business requirements and user needs before we quote, so budgets and timelines are realistic. On fixed-budget projects, we commit to the budget we propose.

Competence-based selection of a project team-01

Competence-based selection of a project team

We staff each role with the specialists whose skills and experience fit the project best.

Comprehensive risk management

Risk management

We identify risks at the start of every project and plan how to reduce them. The project manager tracks them throughout delivery.

Budget-control

Budget control

The project manager checks budget use every iteration, so spending follows the plan without surprises.

Responsible approach to deadlines-02

Responsible approach to deadlines

Structured processes and change management let us meet deadlines without cutting quality.

Regular reporting

Regular reporting

Weekly calls, biweekly demos, time and progress reports, and bug tables keep you informed at every stage.

Tell us what you need to build. We reply within 24 hours.

Awards & recognitions

In 2026, Clutch named SumatoSoft a top AI company, a top Python and Django developer and a top .NET developer in Boston. GoodFirms and Techreviewer list us among top software development and AI companies.
Clutch 2026 award — Top Python and Django Developers in Boston, awarded to SumatoSoft
GoodFirms badge — SumatoSoft listed as a Top Software Development Company
Clutch 2026 award — Top Artificial Intelligence Company in Boston, awarded to SumatoSoft
techreviewer.co 2026 — SumatoSoft listed among Top Software Development Companies
GoodFirms badge — SumatoSoft listed as a Top AI Development Company
Clutch 2026 award — Top .NET Developers in Boston, awarded to SumatoSoft
techreviewer.co 2026 — SumatoSoft listed among Top AI Integration Companies
Goodfirms badge icon
TDA badge icon
AWS partner badge icon
ISO compliance badge icon
Responsive Design Development 2025
Mobile Software Development 2025
IoT Services 2025

What affects software development cost

Every software project has its own scope, architecture, and delivery path. We estimate development cost based on the business goal, technical complexity, required integrations, and the level of support needed after release.

A clear estimate starts with a short discovery process. We review what you want to build, how the system should work, which users it must support, and what technical requirements will shape the delivery roadmap. For typical rates and project sizes, see our engagement models and rates, or get a first range from the software development cost calculator.

 

Product scope

Product scope

The number of user roles, workflows, features, screens, and business scenarios defines the core project scope. A focused MVP requires a different delivery setup than a full-scale enterprise platform with multiple departments, permissions, and operational layers.

Architecture complexity

Architecture complexity

Custom software can be a standalone application, a SaaS platform, an internal business system, or a complex enterprise environment. Architecture affects development effort, scalability planning, performance requirements, and long-term maintenance.

Integrations

Integrations

Most business software connects with existing systems such as CRM, ERP, payment providers, analytics tools, IoT platforms, data warehouses, or third-party APIs. The number and complexity of integrations influence both engineering effort and testing scope.

Data migration

Data migration

Projects that involve legacy systems often require data cleanup, mapping, migration, and validation. This work helps the new system operate with accurate, structured, and usable business data from day one.

AI, IoT, and advanced functionality

AI, IoT, and advanced functionality

AI agents, RAG systems, predictive analytics, IoT dashboards, device management, and real-time data processing require additional architecture, evaluation, and integration work. We define this scope early so the budget reflects the actual system design.

Security and compliance requirements

Security and compliance requirements

Healthcare, FinTech, enterprise, and data-intensive products often require stronger access control, audit trails, encryption, infrastructure policies, and compliance-ready documentation. These requirements are built into the delivery plan from the start.

Team composition

Team composition

The required team depends on the project type. A typical setup may include a business analyst, solution architect, UI/UX designer, developers, QA engineers, DevOps specialist, project manager, and technical lead.

Timeline and delivery model

Timeline and delivery model

A fixed-budget project, dedicated team, staff augmentation model, or long-term product development partnership affects how the work is planned and billed. We recommend the model that fits your scope, internal capacity, and launch goals.

Post-launch support

Post-launch support

Software continues to evolve after release. Support, monitoring, optimization, new feature development, infrastructure updates, and product roadmap execution can be planned as part of the initial engagement or added after launch.

Why Clients choose SumatoSoft

About SumatoSoft:

  • Delivery transparency from day one

You get structured project visibility through Jira, Confluence, milestone reviews, demos, and regular reporting. Scope, progress, priorities, and delivery status stay clear throughout the engagement.

  • ISO-certified quality and security processes

SumatoSoft works under ISO 27001 and ISO 9001 certifications. These standards support information security, quality management, documentation discipline, and consistent delivery practices.

  • Advisory partnership, not task execution

Our team actively contributes engineering judgment, practical recommendations, and product thinking throughout the project. We help shape the solution around business value, technical feasibility, and long-term product evolution.

  • Built for long-term cooperation

SumatoSoft’s delivery model is designed for companies that need a technology partner beyond the first release. Our Client relationships average 3+ years, and many Clients continue with additional projects after the initial engagement.

entrepreneurs-discussing-work-results-meeting

Let’s start

You are here
1 Share your idea
2 Discuss it with our expert
3 Get an estimation of a project
4 Start the project

If you have any questions, email us info@sumatosoft.com

    Please be informed that when you click the Send button Sumatosoft will process your personal data in accordance with our Privacy notice for the purpose of providing you with appropriate information.

    Vlad Fedortsov (Account Manager)
    Vlad Fedortsov
    Account Manager
    Book an intro call
    Thank you!
    Your form was successfully submitted!

    Frequently asked questions

    What software development services does SumatoSoft offer?

    SumatoSoft provides six service lines: AI and agentic development, IoT and AIoT development, custom and enterprise software, software product development, MVP development and legacy modernization. We have built software for 14+ years, with headquarters in Boston and an engineering center in Warsaw. We work across industries including manufacturing, healthcare, logistics, fintech, edtech, adtech and ecommerce, and our case studies are on the portfolio page.

    How does SumatoSoft build AI agents?

    SumatoSoft builds AI agents as production software components with tool use, memory, multi-step reasoning, enterprise data access, and integration into existing applications. Engagements move through assessment, proof of concept, architecture, development, evaluation, and rollout. Every AI engagement runs under the Agentic Development Lifecycle (ADLC).

    What is the Agentic Development Lifecycle (ADLC)?

    The Agentic Development Lifecycle (ADLC) is SumatoSoft’s framework for building AI and agentic systems, whose outputs are probabilistic rather than fixed. It sets how requirements, architecture, development, evaluation, security review and release are handled for these systems. The full framework is on the ADLC page.

    Is SumatoSoft ISO certified?

    Yes. SumatoSoft is ISO 27001 and ISO 9001 certified. These certifications cover our information security and quality management practices. Healthcare software we build is designed for HIPAA-regulated environments.

    SumatoSoft logo
    If you have any questions, email us info@sumatosoft.com

      Please be informed that when you click the Send button Sumatosoft will process your personal data in accordance with our Privacy notice for the purpose of providing you with appropriate information.

      Vlad Fedortsov (Account Manager)
      Vlad Fedortsov
      Account Manager
      Book an intro call
      Thank you!
      We've received your message and will get back to you within 24 hours.
      Do you want to book a call? Book now
      SumatoSoft clients logo