Artificial Intelligence (AI) Software Development Services

Custom AI built on solid software, by a team that has shipped both for 14+ years.

  • Dedicated Digital Innovation Lab
  • Modernization of legacy software
  • Security and compliance audits
  • Agentic coding teams setup
  • AI-powered microservices development
Get in Touch
Clients rate our servicesโ˜…โ˜…โ˜…โ˜…โ˜…5,0

What AI services does Nexterse LLC offer, by ROI tier?

The right AI tier depends on where you stand today: your budget, how ready your data is, your compliance exposure, and how complex your operations are. We organize AI work into these tiers and weigh the risk, the return, and whether each step is feasible in production.

Tier 1: AI readiness & consulting

We pressure-test your business goals before you spend a dollar on development. Before we build anything, we check whether AI actually pays off for your specific use case.

We audit:

  • Data availability and quality.
  • Infrastructure and integration constraints.
  • Security and compliance exposure.
  • Operational workflow impact.
  • Projected token consumption and cloud costs.
AI Readiness Assessment โ†’
Tier 1: AI readiness & consulting

AI that delivers business value

Contact us and get a roadmap tailored to your needs.

Get an AI project estimate

What is the AI pilot & prove program?

Our pilot & prove program is a structured 4-6 week engagement that tests three things before full deployment: whether the system works technically, whether your operations are ready for it, and whether it makes economic sense. Rather than experiment in a vacuum, we build a secure, production-realistic environment using a controlled slice of your real data and infrastructure.

What we build

Inside an isolated cloud sandbox (VPC), we connect AI to your internal systems through secure middleware and set role-based access controls at the retrieval level.

We configure a deterministic RAG architecture so every response is grounded in a real source, set benchmarks for accuracy and consistency, simulate real user workflows, and project your monthly token consumption under realistic load.

You get to see how the system performs under real operating conditions.

What you get

At the end of the pilot & prove phase, you walk away with:

  • a validated architecture blueprint
  • documented security and governance controls
  • measured retrieval accuracy and response benchmarks
  • a production token-consumption forecast
  • a rollout roadmap with cost projections
  • a clear investment model for scaling.

Your leadership team can judge the initiative on hard data, projected costs, and measurable outcomes.

What AI has Nexterse LLC built?

AI-powered stack
AI-powered stack

IoT and ML predictive maintenance for a 28-turbine wind farm

A German operator runs 28 onshore turbines. Nexterse LLC built a predictive maintenance layer on top of the existing SCADA. Within 12 months, unplanned downtime fell by 38%, and availability rose to 97.7%.

View More
  • IoT
  • AI inside
  • Enterprise
AI-powered stack
AI-powered stack

AI-powered predictive maintenance for a large industrial manufacturer

An AIoT upgrade that cut unplanned downtime by 50% within 8 months, adding explainable ML and context analysis to the existing IoT platform.

View More
  • IoT
  • AI inside
  • Enterprise
AI-powered stack
AI-powered stack

AI-powered knowledge base for a global rights nonprofit

A Middle Eastern nonprofit working in cultural preservation needed a single searchable repository for fragmented research on ethnic minorities. Nexterse LLC built a multilingual AI platform that now indexes 12,000+ artifacts across 18 countries.

View More
  • AI inside
  • Enterprise
AI-powered stack
AI-powered stack

AI/ML route optimization for a freight delivery service

Lifted on-time delivery to 98% โ€“ without expanding the fleet. An AI/ML platform that plans and reoptimizes B2B/B2C routes in real time with traffic, weather, and capacity constraints, cutting last-mile costs by 22%.

View More
  • AI inside
  • Enterprise

Dave Alce

COO

From the early stages of the project, Nexterse LLC demonstrated a proactive attitude, actively seeking opportunities to enhance the solution and anticipate our needs. They consistently took the initiative to address any potential issues, provide timely updates, and offer solutions to challenges that arose during development. This proactiveness greatly contributed to the project's success and exceeded our expectations.

Alexander McCaig

Alexander McCaig

Co-Founder & CEO, Tartle

The system has produced a significant competitive advantage in the industry thanks to Nexterse LLC's well-thought opinions. They shouldered the burden of constantly updating a project management tool with a high level of detail and were committed to producing the best possible solution.

Andrey Kubka

Andrey Kubka

Product Technology Manager, Mediatron

Nectarin LLC aimed to develop a complex Ruby on Rails-based platform, which would be closely integrated with such systems as Google AdWords, Yandex Direct and Google Analytics.

Benjamin Dorsinvil

Benjamin Dorsinvil

Founder, SellBig

I was impressed by Nexterse LLC's prices, especially for the project I wanted to do and in comparison to the quotes I received from a lot of other companies. Also, their communication skills were great; it never felt like a long-distance project. It felt like Nexterse LLC was working next door because their project manager was always keeping me updated.

Damian Gevertz

Damian Gevertz

Founder & CEO, Widgety

We tried another company that one of our partners had used but they didn't work out. I feel that Nexterse LLC does a better investigation of what we're asking for. They tell us how they plan to do a task and ask if that works for us. We chose them because their method worked with us.

Domien Van Eynde

Domien Van Eynde

Team Lead, Daiokan.com

Nexterse LLC is the firm to work with if you want to keep up to high standards. The professional workflows they stick to result in exceptional quality. Importantly, they help you think with the business logic of your application and they don't blindly follow what you are saying. Which is super important. Overall, great skills, good communication, and happy with the results so far.

Katerina Bromberg

Katerina Bromberg

Co-Founder, MyMediAds.com

Together with the team, we have turned the MVP version of the service into a modern full-featured platform for online marketers. We are very satisfied with the work the Nexterse LLC team has performed, and we would like to highlight the high level of technical expertise, coherence and efficiency of communication and flexibility in work. We can confidently say that Nexterse LLC has put all our ideas into practice.

Maria Duyunova

Maria Duyunova

Director, Simplimagine LLC

We are absolutely convinced that cooperation between companies is only successful when based on effective teamwork. But the teams may vary on the degree of their cohesion.

Michael Karbushev

Michael Karbushev

Senior Director of Engineering, Evolv

They are very sharp and have a high-quality team. I expect quality from people, and they have the kind of team I can work with. They were upfront about everything that needed to be done. I appreciated that the cost of the project turned out to be smaller than what we expected because they made some very good suggestions. They are very pleasant to work with.

Paul S. Chun

Paul S. Chun

CTO, Rivalfox GmbH

Rivalfox had the pleasure to work with Nexterse LLC in building out core portions of our product, and the results really couldn't have been better. Nexterse LLC provided us with engineering expertise, enthusiasm and great people that were focused on creating quality features quickly.

Pratasevich Ivan

Chief Executive Officer, Ivanco-Media LLC

We'd like to thank Nexterse LLC for the exceptional technical services provided for our business. It should be noted that we started our project's development with another team, but the communication and the development process in general were not transparent and on schedule. It resulted in a low-quality final product.

Yevgeniy Rozenblat

Yevgeniy Rozenblat

Program Manager, TL Nika

Nexterse LLC succeeded in building a more manageable solution that is much easier to maintain.

Yuriy Semenchuk

Yuriy Semenchuk

General Director, Business Car

When looking for a strategic IT-partner for the development of a corporate ERP solution, we chose Nexterse LLC. The company proved itself a reliable provider of IT services.

Yury Haverman

Founder, BoxForward

Thanks to Nexterse LLC's can-do attitude, amazing work ethic, and willingness to tackle clients' problems as their own, they've become an integral part of our team. We've been truly impressed with their professionalism and performance and continue to work with the team on developing new applications. We are completely satisfied with the results of our cooperation and will be happy to recommend Nexterse LLC as a reliable and competent partner for development of web-based solutions.

Alex Phelps

Alex Phelps

CEO

We've been working with Nexterse LLC for a few years, starting from the initial monitoring system, so they already understood our environment quite well. At the same time, they still managed to surprise us with their professionalism.

Dillon Christensen

Dillon Christensen

CEO

We'd like to sincerely thank Nexterse LLC for the work they've done on our maintenance system. At one point, our maintenance efforts became inefficient โ€“ long downtimes and rising repair costs became the norm.

Erica Lindsay

Erica Lindsay

Manager

We had already invested in AI, but the output was unclear. There were multiple initiatives across the company, each showing some promise, but no clear way to evaluate them or connect them to business outcomes.

Paul Fardoe

Paul Fardoe

Director

Nexterse LLC is flexible, efficient, and extremely good at planning and being proactive. They have also been very proactive in their approach throughout the project, seeking to understand the needs and the reasons behind them before launching into development, which has been helpful for maintaining direction and consistency.

Why Nexterse LLC: our pragmatic guarantees

We bring engineering discipline and commercial sense to every engagement. We donโ€™t treat AI as a cure-all. We look at your architecture, your data, your risk, and your costs first. Then we tell you where AI belongs and, just as honestly, where it doesnโ€™t.

We will NOT bolt an LLM directly to your core database.

We will NOT bolt an LLM directly to your core database.

We design secure middleware and API abstraction layers that shield your legacy systems from instability, latency, and injection attacks.

We will NOT use your proprietary data to train public models.

We will NOT use your proprietary data to train public models.

Your data stays inside your own controlled infrastructure. We deploy AI in secure, isolated cloud (VPC) environments with strict access controls and full auditability.

We will NOT push AI where it does not create business value.

We will NOT push AI where it does not create business value.

If a deterministic, traditional build gets you the result faster and cheaper, that is what we recommend. We are dual-engine engineers. We build AI that earns a return and structured software that keeps things stable.

How does Nexterse LLC engineer production AI? (ADLC)

Traditional software follows deterministic logic: meet a condition, and a predefined action runs. AI systems work differently. They generate responses from probability, context, and learned patterns. That difference calls for its own engineering discipline, the agentic development lifecycle (ADLC).

1

Phase 1 โ€“ business hypothesis and data mapping

We define the business goal before we pick a single model. Together we pin down the workflow you want to improve, the outcome youโ€™ll measure it against, and the decision the AI will support. Then we map your data. We find where the knowledge lives, how it moves between teams, and where weโ€™ll need to connect structured and unstructured sources. From day one, the system aims at a target youโ€™ve defined.

2

Phase 2 โ€“ guardrail framing and architecture design

A probabilistic system needs hard boundaries, which we call guardrails. We decide which sources it can draw on, how it reaches your data, who is allowed to see what, and when it should refuse to answer at all. These rules arenโ€™t bolted on afterward. We build them into the architecture itself, and it plugs into your ERP, CRM, data warehouses, and internal tools, with full logging and an audit trail throughout.

3

Phase 3 โ€“ continuous evaluation and release gating

We measure how the system behaves before anyone outside the test group touches it. Our evaluation pipelines, including frameworks built for retrieval-augmented generation (RAG), check whether answers stay faithful to the source, whether retrieval lands on the right material, and whether the system responds consistently and accurately against the thresholds we set. Nothing scales until the numbers clear the bar.

4

Phase 4 โ€“ adversarial testing and production validation

Production brings scale, simultaneous users, and edge cases the test environment never sees. To stay ahead of them, we attack the system on purpose, red-teaming it and simulating prompt-injection attempts to find where it breaks. We confirm it holds up under load, that each interaction costs what we projected, that it doesnโ€™t disrupt neighboring systems, and that it behaves predictably no matter how users phrase their requests. Only once it proves reliable under real conditions does it move to production.

5

Phase 5 โ€“ operational governance and continuous optimization

Going live doesnโ€™t end the oversight. We keep watching answer quality, how current the data stays, how people actually use the system, and what it costs to run. When we adjust it, we document every change and tie it back to where your business is headed. The system improves on purpose, and you can measure that improvement.

How does Nexterse LLC secure enterprise AI?

AI systems have to run inside clear technical, legal, and operational boundaries. We build those boundaries straight into the architecture rather than adding them later.

Infrastructure-level security

We deploy AI inside your own controlled cloud, AWS or Azure, using private networking, isolated workloads, and encrypted data flows. Access runs on fine-grained, role-based permissions that match your internal policies.

Which industries does Nexterse LLC build AI for?

Weโ€™ve delivered AI development across more than 20 industries, building custom, industry-specific software for both new and established businesses. Our work spans big-data analysis, AI development, and machine learning, and weโ€™ve already created value for more than 350 companies worldwide.

Yury ShamreiYury ShamreiCEO & Founder
โ€œโ€œ
Since 2020, AI has gone from an emerging trend to a driving force. What used to be experimental is now essential, reshaping how businesses operate, compete, and grow. At Nexterse LLC weโ€™ve leaned into that shift and grown our expertise to help companies put AI to full use.

Awards& Recognitions

Leading analyst agencies that track the best AI software development companies worldwide have recognized Nexterse LLC. Our values and our partners help us deliver services at that level.

Clutch 2026 โ€” Top Artificial Intelligence Company in Boston
Clutch 2026 โ€” Top Generative AI Company in Boston
GoodFirms โ€” Top AI Development Company
techreviewer.co 2026 โ€” Top AI Consulting Companies
techreviewer.co 2026 โ€” Top AI Software Development Companies
techreviewer.co 2026 โ€” Top AI Integration Companies
Clutch 2026 โ€” Top Machine Learning Company in Boston
Clutch 2026 โ€” Top Voice and Speech Recognition Company in Boston
Clutch 2026 โ€” Top Robotics Company in Boston
techreviewer.co 2026 โ€” Top AI PoC Development Companies
techreviewer.co 2026 โ€” Top AI Agents Development Companies
techreviewer.co 2026 โ€” Top RAG Development Companies
techreviewer.co 2026 โ€” Top LLM Development Companies
techreviewer.co 2026 โ€” Top Machine Learning Development Companies
techreviewer.co 2026 โ€” Top GenAI Development Companies

Whatโ€™s in Nexterse LLCโ€™s AI tech stack?

Here are just a few tools we use for AI software development. Final choice depends on your specific business goals.

Foundational models
Azure OpenAIAWS BedrockAnthropicMeta LlamaMistral AI
Orchestration & Agents
LangChainLlamaIndexAutoGenCrewAI
Enterprise memory (vector databases)
pgvectorQdrantPineconeWeaviate
Data processing & Multi-modal
Apache SparkDatabricksUnstructuredWhisper
LLMOps & Evaluation
LangSmithRagasWeights & BiasesMLflow
Cloud & Infrastructure
AWSMicrosoft AzureDockerKubernetes

Your data never trains public models

Enterprise AI needs a clear architecture. Your proprietary information stays fully under your control at every stage of development and deployment.

VPC-isolated deployment architecture

VPC-isolated deployment architecture

Your AI runs inside your own cloud, AWS or Azure, walled off with VPC isolation, private subnets, security groups, and IAM policies. The models live inside your security perimeter and reach your internal systems through controlled middleware, never by touching your database directly.

Vector-level role-based access control (RBAC)

Vector-level role-based access control (RBAC)

We control access at the retrieval layer. Role- and attribute-based rules (RBAC and ABAC) mean a user can only pull the data theyโ€™re cleared to see, and we check those permissions before the system retrieves anything or writes a word.

Automated PII redaction pipeline

Automated PII redaction pipeline

Before any sensitive data gets indexed or reaches a model, it runs through an automated pipeline that finds and redacts personal information (PII). We use entity recognition, masking, and tokenization to keep protected data out of layers it was never meant to reach.

Private model invocation and secure API mediation

Private model invocation and secure API mediation

We reach foundation models either through secure API gateways or through private endpoints we deploy for you. Every call is logged and rate-limited, and middleware inside your own infrastructure governs all of it.

Audit logging and access traceability

Audit logging and access traceability

We log every interaction, each retrieval, each generated answer, and each system call, so you can trace any of them later. The audit trail gives you operational transparency and the records your compliance team needs.

Frequently asked questions

Cost depends on scope, data readiness, and how many systems the AI connects to. As a general guide, a proof-of-concept or pilot runs in the low-to-mid five figures. A full production build usually falls between roughly $100,000 and $400,000+, set by model complexity, integrations, and compliance scope. Ongoing monitoring and retraining add about 15โ€“20% of the build cost per year. Our 4โ€“6 week pilot puts a firm cost boundary around the work before you commit to production, including projected cloud and token spend.

Let's start

What's next
1. Tell us your vision
2. Expert discovery session
3. Receive your custom roadmap
4. Launch your project
If you have any questions, email us info@nexterse.com

When you click Send, Nexterse LLC will process your personal data in accordance with our Privacy notice to respond to your enquiry.

Account manager
Alex Morgan
Account Manager
Book a consultation