01
Senior Experts Only
132+ experts across AI, software engineering, security, and QA — with over half at senior or lead level. No juniors hidden behind account managers.
Key facts
Key facts about INNERLUXES
132+
IT professionals, incl. AI consultants
68+
success stories
Legal Entity
US LLC
Legal Entity
Pvt Ltd
Built with
GenAI + ML
Delivery
DevSecOps
How we help
How We Help
When you’re considering AI, you don’t just need a vendor — you need a team that actually understands your business. With 132+ specialists on board, INNERLUXES helps you plan, build, connect, and grow AI solutions that work in the real world. We work with both generative AI and traditional machine learning, choosing the right approach based on your goals, your data, and the return you’re aiming for.
Discuss Your AI Goals with Our Team
If you’re figuring out where AI fits in your business — or wondering whether your current AI is pulling its weight — we’ll help you cut through the noise, find real opportunities, and build a practical adoption plan.
About INNERLUXES
INNERLUXES is a software development company with 132+ IT professionals, and 68 delivered projects across 30+ industries. Quality and information security management run under robust internal systems, and our engineers work inside a Chromium enterprise browser we built in-house, so client source code, credentials, and customer data never leave a controlled environment. Your first production release ships in weeks rather than quarters, and the senior engineers who scope your project are the ones who build it. Meet our named specialists, read our published client projects, and see how we work.
Why INNERLUXES
What Makes INNERLUXES a Reliable AI Partner.
Four reasons clients trust us to take an AI idea all the way to a working, measurable result.
02
A Verifiable Track Record
in AI and software engineering and 68 successful projects — a delivery record you can actually verify, not a pitch deck.
03
Custom Model Expertise
Hands-on experience designing, training, and fine-tuning custom AI models for specialized use cases — plus deep skill in adapting proven pre-trained models cost-effectively.
04
Security and Compliance Built In
Strong security and quality management embedded into every engagement, with domain and compliance expertise across 30+ industries.
By AI capability
Generative AI and Machine Learning — the Right Tool for the Job
With hands-on delivery across 30+ industries, INNERLUXES builds AI that fits the specific realities of your domain. We pick the capability that matches your goal, your data, and the return you’re aiming for.
Generative AI
AI that creates, transforms, or interprets content — text, images, audio, video, or code. We build chatbots, copilots, agents (including voice agents), and multi-agent systems for customer and employee support, knowledge search, document drafting, workflow automation, and task execution across your business systems — including dedicated AI customer service chatbots.
Best when: the work involves language, content, or open-ended reasoning across your tools.
Machine Learning, incl. Deep Learning
AI that learns from your data — structured records, images, audio, or sensor feeds — to spot patterns and make predictions. We build predictive and prescriptive AI, recommendation engines, anomaly detection, computer vision, and classical NLP.
Best when: measurable, repeatable results matter — forecasting, fraud detection, scoring, quality control, image analysis.
AI Software and Capabilities INNERLUXES Specializes In
Whether that’s healthcare, insurance, lending, banking, manufacturing, retail, education, or professional services — here is the AI we build, organized by business application.
For supply chain and logistics teams we also build AI for inventory optimization, automated inventory counting with computer vision, and smarter route optimization — plus network intelligence for telecommunications operators.
Customer service and support
Financial management
Diagnostics and medical imaging
Asset maintenance
Production management
Supply chain planning
Sales and marketing
Document management
HR management
Security and fraud detection
Chatbots and voice agents
Computer vision
Predictive and prescriptive AI
Agents and multi-agent systems
Knowledge assistants and RAG search
Recommendation and personalization
AI Built for the Realities of Your Industry
With hands-on delivery across 30+ industries, INNERLUXES builds AI that fits the specific realities of your domain — not generic demos.
In healthcare, we put AI to work inside EHR workflows, support faster diagnostic decisions, power personalized treatment plans, and add patient-facing assistants, with extra work on smart medical devices and long-term care programs. Across finance we build AI for lending decisions, mortgage processing, debt collection, payment workflows, automated insurance claims, and risk-aware underwriting.
Finance & lending
Health, industry & operations
Commerce, public & services
Cooperation models
Flexible Cooperation Models to Effectively Address Your Case
Fully-managed delivery
INNERLUXES handles the AI engagement end to end — from opportunity discovery to production — taking 100% responsibility for solution quality, safety, and project risks under a fixed scope or fixed-budget model.
Your benefits: Predictable cost and timeline, milestone-based reporting, fast and consistent releases, minimized delivery risk.
Dedicated AI team
A long-running team of senior AI engineers, ML specialists, and QA embedded in your governance — managed by your PM or ours — co-sourcing the project with your in-house or partner teams.
Your benefits: Enhanced delivery capacity, accelerated roadmap, balanced managerial effort, full visibility into the team.
Team augmentation
INNERLUXES AI specialists join your in-house team directly — same standup, same backlog, same code review — working on the project under your direct management.
Your benefits: Quick access to missing AI skills. Rapid team ramp-up. Scale up or down weekly.
Technologies
AI Technologies We Use
For most projects, adapting proven pre-trained models is faster and more cost-effective than building from scratch. We pick the right architecture for your data, your latency targets, and the quality you need — at a cost that makes sense.
Generative AI
Large and small language models, multimodal and vision models, speech, and image generation — adapted to your use case with fine-tuning, instruction tuning, LoRA adapters, RAG, Graph RAG, and agentic workflows.
Traditional Machine Learning
Predictive and prescriptive models, computer vision, anomaly detection, and classical NLP — built with proven frameworks for measurable, repeatable results.
AI Platforms and Services
Managed AI platforms from the major clouds — chosen for the balance of cost, performance, governance, and data isolation your use case needs.
Agents and Orchestration
Frameworks for building reliable AI agents and multi-agent systems that connect to your business tools — with the right observability and guardrails.
Big Data
The data foundation AI runs on — pipelines and stores that keep training and inference fed with clean, well-governed data.
Data Visualization
Turn AI outputs, predictions, and KPIs into clear dashboards decision-makers actually use.
Expert view
Choosing the Right Model — Not Just the Most Accurate One
“
For most projects, adapting proven pre-trained models is faster and more cost-effective than building from scratch. In GenAI work, that usually means prompt engineering, RAG, fine-tuning, or agentic orchestration. In classical ML, it means selecting the right architecture for your data and tuning it well. As AI adoption matures, the real question shifts from “which model is most accurate?” to “which model gives us the right quality at a cost that makes sense?” Fully custom models are worth it when you need exceptional accuracy, tighter latency, or stronger data isolation — like in medical diagnostics, fraud detection, or manufacturing quality control.
Head of AI, INNERLUXES
Pricing
AI Service Costs
The right pricing model depends on how defined your scope is and how you want to engage. INNERLUXES works on three models — pick the one that matches your project, or we’ll recommend one after a short discovery call. For a quick ballpark before we talk, try our AI cost calculator.
Pricing models INNERLUXES uses
Time and Materials
Best for
- Agile development of AI-based solutions
- Continuous consulting during AI implementation
- Iterative AI software evolution, reengineering, and bug fixing
Fixed price
Best for
- One-time consulting activities — AI solution architecture design, code audits, project planning
- Feasibility studies and PoC development
- Fixed-scope tasks — building a specific AI feature, AI model development, one-time testing
Subscription fee
Best for
- AI infrastructure management — software configuration, cloud resource optimization
- Managed AI security and compliance monitoring
- L1–L3 help desk and ongoing support (per-ticket model also available)
Sample cost ranges of AI consulting
$6,000
AI product consulting for startups
A focused engagement to validate your AI idea, pick the right approach, and shape a practical adoption plan you can act on.
$2,400–$56,000
Consulting on an enterprise AI solution
Ideation and feasibility study: $2,400–$9,600. Implementation: $7,200–$56,000. Evolution: $9,600/year–$56,000/year.
Sample cost ranges for AI development
$4,000–$40,000
A compact AI capability
A narrow-scope capability such as an FAQ chatbot, document search assistant, summarization tool, data extraction component, or voice interface. Cost depends on the number of data sources, level of autonomy, integration needs, and whether voice or real-time interaction is required.
$20,000–$60,000+
An AI workflow or agent
Performs multi-step tasks and interacts with business systems or product logic — for example, to triage new cases, schedule appointments, or recommend next best actions. Cost depends on workflow complexity, integrations, guardrails, and model monitoring requirements.
$40,000–$120,000+
A full AI application
A full AI application or a substantial AI module within a product, with multiple user flows, integrations, and supporting logic, where AI is a core part of the experience rather than a single feature. Cost depends on UX scope, backend integration complexity, model adaptation, and production-readiness needs.
$120,000–$400,000+
A large AI-enabled platform
A large AI-enabled platform or enterprise-grade product with several AI components — copilots, agents, analytics, and decision-support tools — working together across workflows, roles, or business domains. Cost depends on breadth of functionality, data architecture, security and compliance requirements, and rollout scale.
Every figure above is a starting range. The right number for your project depends on data readiness, integration scope, and production-readiness needs — we’ll give you a grounded estimate after a short discovery call.
Get your cost estimate
Tell us what you’re aiming for and we’ll come back with a realistic cost and timeline range under your scope.
How we work
INNERLUXES’s Approach to Artificial Intelligence Consulting
AI is no longer optional. The businesses seeing real results aren’t the ones asking “should we use AI?” — they’re the ones asking where AI creates the most value, and how to get there safely. Here is how we take you there.
01
Identify high-value AI opportunities
Every engagement starts with your business — processes, pain points, data, and constraints. We look for where AI creates genuine, measurable value, not just where it sounds impressive. When ROI or feasibility isn’t clear, we recommend a focused PoC first.
02
Choose a modern, cost-effective AI stack
We define the technical approach that fits your use case, budget, and risk profile — clear calls on GenAI vs. ML vs. hybrid, LLM vs. SLM, open-source vs. commercial, RAG vs. fine-tuning, and assistant vs. agent vs. multi-agent architecture.
03
Prepare data and integrations
AI is only as good as the data it runs on. For RAG that means content cleanup, deduplication, and permission-aware indexing; for ML, quality checks, labeling, and proper train/validation/test splits — plus a clear map of how AI connects to your apps and workflows.
04
Establish safety, security, and compliance guardrails
AI that can’t be trusted isn’t useful. We design role-based access, approval flows for agent actions, audit trails, prompt-injection defenses, output constraints, and monitoring — with security embedded throughout delivery via DevSecOps.
05
Validate quality and business impact
We define quality and business KPIs at the start and check the solution against them throughout. It’s about making sure AI outputs are relevant, safe, fast enough, and tied to real business value — catching issues early, not after rollout.
Project management
What We Do to Achieve Your AI Project Goals
Great AI software doesn’t happen by accident. It happens because someone is managing complexity with discipline and communicating clearly at every step. Every project is backed by our architecture and solutions center of excellence and a dedicated project management office. Here’s how INNERLUXES runs your project from kickoff to production.
Insights From INNERLUXES’ Experts
Our specialists also share their perspective in the AI industry media.
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Let’s discuss your needs
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