What do AI development services include?

Lucent Innovation's AI development services cover use-case scoping, data preparation, model and agent development, integration with your existing systems, testing, deployment and monitoring after launch. Projects can include LLM and RAG applications, agentic AI solutions, machine learning models, computer vision and NLP.

When does a business need custom AI instead of an off-the-shelf tool?

An off-the-shelf tool works for generic tasks that need no company data. Custom AI software development services make sense when the workflow depends on your own data, must connect to your CRM or ERP, needs role-based access, or has to meet an accuracy standard a general tool cannot reach.

How much do AI development services cost?

Cost depends on the complexity of the use case, the quality and volume of your data, the number of integrations, the choice between API-based and self-hosted models, security requirements and the running cost after launch (API usage, infrastructure, monitoring). Lucent quotes after scoping, and a proof of concept limits spend before a full build. Engagements run on dedicated developers, hourly billing or a custom team.

How long does an AI project take?

Lucent reports an average of about four weeks from kickoff to a working proof of concept. A production build takes longer and depends on data readiness, the number of systems to connect and testing requirements. The scoping phase produces a timeline for your project.

Can Lucent add AI to existing software?

Yes. Lucent adds AI-powered software features to live products, such as assistants, document processing, forecasting and agents. The team starts from your current systems, data platform and access rules, then connects the AI layer through APIs so the core platform does not need rebuilding.

How does Lucent handle data security?

Controls are set during scoping and depend on your data and rules. On Databricks builds, Lucent uses Unity Catalog governance, role-based access and isolated environments for model hosting, with monitoring for drift and performance after launch. Where regulations such as GDPR or HIPAA apply, the requirements are reviewed before design starts.

Can we start with a proof of concept?

Yes. A proof of concept tests one use case on your real data and defines the metric that shows whether it works. You can then decide whether to fund a full build, change the scope or stop.

How do I choose the best AI development company for my project?

Look for evidence, not claims. A reliable AI development company should show production deployments in your industry, explain how it tests accuracy before launch, say who owns the data and models, and describe its monitoring and support after go-live. Ask to see case studies and compare them with Lucent's case studies when you shortlist vendors.

+1-(844) 582-3681

info@lucentinnovation.com

AI Development Services

For production-ready AI systems

Lucent Innovation provides AI software development services for LLM and RAG applications, agentic AI solutions and machine learning models. The team builds your data, connects the result to the systems your business already uses, and monitors it after the launch.

Who We Work with

View All Clients

From AI Consulting to custom development and deployment

One Partner for Your Entire AI Journey

Lucent Innovation builds AI (Artificial Intelligence) into the workflows enterprises already run, such as claims handling, invoice processing and customer support. The work covers AI strategy consulting, custom AI applications, multi-agent systems and the integration that connects them to your CRM, ERP and data platform. The aim is to automate routine steps and give teams better inputs for decisions.

You can start with a consultation, a proof of concept on your own data, or a scoped build. Through, one team handles strategy, data engineering, model development and deployment, and the scope follows your business requirements.

For an enterprise AI development service, that begins with your current systems, data platform and access rules.

Teams adding AI-powered software to an existing product or moving a pilot into production, can work with Lucent through dedicated developers, hourly engagements or a custom team.

Core AI Development Capabilities

Lucent Innovation builds high-performing AI applications from the capabilities below. Most projects combine several of them. A claims tool, for example, might pair document extraction with a risk-scoring model and an agent that routes each case. Each project starts from your use case and data, and only the capabilities it needs go into the build.

AI agents and workflow automation
AI agents that plan and complete multi-step tasks across your systems. Permissions and approval steps are set per workflow, so people stay in control of what the agent can do.
See LucentAI →
PoC and MVP development
For teams that already know the use case. A proof of concept tests it on your data, and an MVP puts the core features in front of real users before you commit to a full build.
See AI consulting →
AI implementation and integration
Deploy AI into your existing systems with monitoring and maintenance planned from the start. Lucent tracks performance after launch and adjusts as usage grows.
See AI and ML services →
Generative AI integration
Adds LLM-based features to the applications Lucent builds, such as workflow automation, copilots and customer-facing assistants. Model choice follows your quality, privacy, and cost needs.
See generative AI services →
LLM-powered application features
Question answering, document summarization and retrieval-augmented generation (RAG) built into the product, and fine-tuned where the gain can be measured.
See LLM development →
Custom machine learning models
Models trained, tested and validated on your data as part of the application. Typical uses are demand forecasting, churn prediction and fraud detection.
See ML development →
Computer vision and visual AI
Image classification, object detection, OCR and visual search built into your product. Common uses are document automation and defect detection.
See computer vision services →
NLP and text intelligence
Sentiment analysis, information extraction and text understanding inside your application, applied to customer reviews and support tickets.
See NLP services →
Data-driven features and insights
Analytics, dashboards, predictive scoring and recommendations inside the application, so users act on the data without leaving the product.
See data science services →

Success Stories Powered by AI

Europe

AI Consulting for Retail Demand Forecasting

Challenge Faced:

A European retail chain was making inventory decisions based on last year's sales data and gut instinct. Overstock and stockouts were costing the business significantly every quarter, and the planning team had no reliable way to anticipate demand shifts.

Solution:

We ran a full AI readiness assessment, identified demand forecasting as the highest-ROI use case, and built a custom predictive model trained on three years of sales history, seasonal patterns, and external market signals. The model was deployed into their existing planning workflow within six weeks.

Core Technologies Used

PythonScikit-learnDatabricksDelta LakeAWSMLflow

See Full case study

AI Consulting for Retail Demand Forecasting

Outcomes Achieved

35%

Reduction in overstock costs

28%

Fewer stockout incidents

60%

Fast to production deployment

How an AI Project Runs at Lucent Innovation

Scope

Pick one use case and the metric that will prove it works.

Data

Audit your data and build the pipeline the model will read from.

Build

Develop the model or agent and wire it into your existing tools.

Test

Score it on data it has not seen, plus your own edge cases.

Launch

Go live with monitoring on, then review drift and cost with your team.

Data

Audit your data and build the pipeline the model will read from.

Test

Score it on data it has not seen, plus your own edge cases.

Scope

Pick one use case and the metric that will prove it works.

Build

Develop the model or agent and wire it into your existing tools.

Launch

Go live with monitoring on, then review drift and cost with your team.

Technologies Powering our AI Deliveries

Lucent Innovation builds in Python with the major ML frameworks and runs production work on Databricks, AWS, Azure or Google Cloud, depending on where your data already lives.

Languages

Python | SQL | Scala | R

ML frameworks

TensorFlow | PyTorch | Scikit-learn | XGBoost | LightGBM

LLM and NLP

Hugging Face | LangChain | OpenAI GPT models | Llama | spaCy

Databricks AI

Mosaic AI | Vector Search | Model Serving | Unity Catalog

Cloud platforms

AWS | Microsoft Azure | Google Cloud

Data and streaming

Apache Spark | Delta Lake | Apache Kafka | Apache Airflow

MLOps and deployment

MLflow | Kubeflow | Docker | Kubernetes | CI/CD pipelines

APIs and integration

REST APIs | GraphQL | FastAPI

Databases

Analytics and BI

Power BI | Tableau | Looker | Grafana

Industries we serve

AI Software Development Across Industry

Each industry has different data and different rules. The examples below show what Lucent builds for six of them.

Healthcare

Document summarization, patient-intake automation and decision-support tools built around the privacy rules that apply to patient data.

See healthcare solutions

What Sets Us Apart as an AI Development Company

Lucent Innovation's AI development services suit teams with real data, a defined workflow and a business case to prove. The six situations below show where that usually applies.

Validate before a full build

Each project start with one use case and one metric. A proof of concept on your own data shows whether it works before a full build is funded.

Model choice by requirements

The team picks models and frameworks from your data, integrations, security and performance needs, not from what is popular. OpenAI models, Llama, Hugging face and Langchain are used where they fit.

Certified Databricks Partner

If your data already sits in databricks, the AI work can run there with unity catalog governance, so nothing has to be moved out.

Sized for production volumes

Systems are designed around expected data volumes, workload and integrations from the start, so an engineer does not need a rebuild to go live.

Documentation your teams can use

Architecture and implementation decisions are written down, so your engineers understand how the system works and can extend it.

Monitoring from day one

Monitoring, versioning and observability are part of the build, so drift and performance problems show up early

Hire AI and Data Specialists

If you need people more than a project, Lucent's specialists can join your team on a dedicated, hourly or custom-team basis.

Hire AI Developers

Hire Machine Learning Engineers

Hire Data Scientists

Hire Data Engineers

What Our Clients Say

A glimpse into what our clients think of the work we've done together.

“No task was impossible, and they delivered. It was so cool to dream big and have the results become a reality, thanks to their dedication, technical expertise, and seamless execution.”

Treva Stone

Moonglow

“Good developers with experienced knowledge and who are always willing to suggest ways to improve your workflow. Their support and expertise have been invaluable in enhancing our project’s efficiency and overall success.”

Gibson Tang

Mighty Jaxx

“We were impressed with their timelines, accuracy, and understanding of business and technical requirements. Their proactive approach and seamless execution made the entire process smooth and efficient.”

Ujjawal Kothari

Iconic

“I am impressed with their ability to get things done quickly while maintaining high quality. They were responsive, easy to work with, and ensured everything was delivered as promised.”

James Owen

Raintree Nursery

“The team truly goes above and beyond to ensure everything looks and functions exactly how we envisioned. And we’re genuinely happy with the results.”

Jack Bensason

Trestique Beauty

“Lucent Innovation dramatically improved our website speed—the integration of crucial features enhanced user engagement and our e-commerce capabilities.”

Akshay Khatri

Go Noise

“After working with multiple vendors, Lucent was the only team that truly understood and transformed our vision into a world-class product. From confusion to clarity they guided, built, and delivered beyond expectations.”

Glenn Freezman

Digital Speaker Agent

“Nicobar's smooth migration was achieved through Lucent Innovation's structured planning and patient approach. They demonstrated their reliable expertise and minimized potential disruptions.”