Engineering software.Accelerating it with AI.

We help companies turn their existing products into AI-powered ones: modernising them in .NET, Python, React and the cloud, and building AI into the systems they already depend on.

Senior architects, hands on

We design, build, secure, test and run it

AI-first
  1. Architecture & cloudSecure, scalable systems on any major cloud.
  2. Web & mobileClean, tested code for web, iOS and Android.
  3. IntegrationsPayments, CRM, ERP and identity, connected reliably.
  4. Monitoring & supportWatched 24/7, tuned for speed, incidents fixed fast.
  5. AI products & dataAI built in, with answers and alerts from your data.
  6. AI securityGuardrails, controlled access and full audit trails.
Microsoft certifiedMCSDMCSAAzureVerified on Credly

Small by design.
Senior by default.

Senior engineers who own your code, its performance and its AI, from the first design to production support.

years of engineering experience
23
years of engineering experience
Azure, AWS, Google and Oracle
4 clouds
Azure, AWS, Google and Oracle
from AI idea to a working pilot
4–6 wks
from AI idea to a working pilot
coverage across time zones
24/7
coverage across time zones

Clients

  • Ventla
  • AgilityHealth
  • Glasswall
  • Merc-Flow
  • Agile Transformation
  • SINTEF
  • Bekk Consulting
  • CareSmartz360

Services

Full-stack engineering, with AI built in.

Web, mobile, APIs, cloud, testing and performance, from one team. Pick a single service, or let us take care of all of it.

Core practice

AI Development & Automation

We build AI into new products and the systems you already run, choosing the right model for each job and keeping your data secure.

How we build AI

Platform

  • Azure AI Foundry
  • Google Vertex AI
  • OCI Generative AI

Knowledge

  • RAG over your documents
  • Vector search and reranking
  • Permission-aware retrieval

Agents

  • LLM agents with tool calling
  • Natural-language SQL queries
  • Approvals and guardrails

Quality

  • Evaluation and observability
  • Model routing and caching
  • AI in .NET and Python apps

Models & stores: GPT · Claude · Gemini · Llama · Mistral · pgvector · Qdrant · Pinecone

Secure AI

AI Security, Guardrails & Data Intelligence

AI that is safe to put in front of customers and staff: controlled, auditable and connected only to the data each person is allowed to see.

How we secure AI
  • AI Security AssessmentsReview AI applications for data exposure, unsafe integrations, access gaps and misuse risks.
  • AI Guardrails & Policy ControlsDefine what AI can answer, which tools it can use and which actions need human approval.
  • Secure AI Agents & AutomationAgents with limited permissions, controlled tool access, approval steps and action logs.
  • Private AI on Business DataConnect AI to your documents and databases with proper access controls and data protection.
  • Secure RAG & Knowledge AssistantsAssistants that retrieve only authorised information, cite sources and respect document permissions.
  • AI-Powered Data IntelligenceTurn business data into summaries, trends, anomaly alerts and answers to operational questions.

Also: Prompt injection protection · Sensitive data protection · AI data quality & validation · AI evaluation & reliability testing · AI monitoring & audit trails · AI governance & responsible adoption

Mobile DevelopmentiOS and Android apps for customers and field teams, connected to your systems, with AI features built in where they help.React Native · .NET MAUI · XamarinReact & Web DevelopmentReact and TypeScript front ends on .NET or Python APIs: fast, accessible SaaS products that are easy to change.React · TypeScript · BlazorCloud: Azure, AWS, Google & OracleMulti-cloud architecture, migration and CI/CD, set up properly and kept secure and cost-efficient.Microsoft Azure · AWS · Google CloudTest Automation & QAEnd-to-end, API and mobile test automation in your CI/CD pipeline, so every release goes out with confidence.Playwright · Selenium · SpecFlowData & DatabasesDatabase design, faster queries and reliable pipelines, the foundation every AI project needs.PostgreSQL · pgvector · Cosmos DB · Microsoft Fabric

How to start with AI

Three clear steps, each with a result you can hold.

No big-bang rebuilds. Start with an assessment, prove the value with a pilot, then scale what works.

  1. 01 · Start here

    AI Readiness Assessment

    About 2 weeks

    We review your product, data and workflows and show you exactly where AI pays off, and where it does not.

    You get

    • Ranked list of AI opportunities by value and effort
    • Data and architecture readiness review
    • Recommended models, costs and risks
    • A clear plan for the pilot
  2. 02 · Prove it

    AI Pilot

    4 to 6 weeks

    A working AI feature on your real data, so you can judge the results before investing further.

    You get

    • Working prototype inside your environment
    • Model comparison (OpenAI, Claude, Gemini)
    • Quality and cost measured on real cases
    • Go / no-go recommendation
  3. 03 · Scale it

    AI Integration

    Scoped after the pilot

    Production-grade AI built into your existing systems, secured, monitored and handed over properly.

    You get

    • Integration into your apps and workflows
    • Security, access control and audit logging
    • Monitoring, evaluation and cost controls
    • Documentation and team handover

After launch, we keep improving it: monitoring, model updates and new features under a support agreement.

Responsible AI, by default.

How we keep AI safe, accurate and affordable.

  • Your data stays yours

    We use enterprise AI endpoints that do not train on your data, running in your own Azure or AWS account.

  • Privacy by design

    We collect only the data a feature needs, and build with GDPR and the EU AI Act in mind.

  • Human in the loop

    People approve high-impact actions. AI suggests; your team decides.

  • Answers you can check

    Assistants cite their sources, so every answer can be traced back to your documents.

  • Tested before release

    We measure accuracy on real examples before launch, and keep measuring after.

  • Costs under control

    Usage limits, caching and the right-sized model for each task keep AI spend predictable.

Work

Selected engagements.

Products we have built, extended and made AI-ready. References are available on request.

An event platform on web and mobile, built and run end to end

Challenge
A Nordic event-platform company needed one team to build its product and keep it running through live events.
What we did
Built the web platform on .NET and Azure with Blazor, Angular and Vue front ends, and the attendee mobile apps for iOS and Android.
Outcome
A long-term product partnership: up to 10,000 participants across 15 events on the same day, new features shipped while events ran live, and AI added to the platform.
Read the full case study

.NET · Blazor · SignalR · Xamarin · Azure Functions · Key Vault

Ventla

What we built

  1. Apps

    • Blazor platform
    • Angular & Vue front ends
    • Xamarin mobile apps

  2. Services

    • .NET APIs
    • SignalR real-time
    • AI features

  3. Cloud

    • Microsoft Azure
    • Azure Functions
    • Key Vault

What we delivered

  • Web platform
  • iOS & Android apps
  • Integrations & APIs
  • AI features

Industries

  • SaaS & HR tech
  • Cybersecurity
  • Events & engagement
  • Energy & research
  • Healthcare & home care
  • E-commerce

30 minutes with Anuj Gupta

Ready to make your product AI-ready?

Tell us what you have today. We will show you where AI pays off, and how fast we can get it live.

Email us
  • Rated 5/5 by clients
  • NDA from day one
  • Reply within one business day

About AgileLancer

A senior team, with senior habits.

AgileLancer is an AI and software engineering consultancy. We help companies add AI to the products they already run, and build secure, reliable software on Azure, AWS, Google Cloud and Oracle.

We keep things simple: clear estimates, weekly demos, honest advice, and systems your own team can run after we are done.

AgileLancer engineers reviewing an analytics dashboard together at the office
01 / 05

Who’s on the team

  • AI engineers

    LLM integration, RAG, agents and evaluation.

  • .NET & full-stack developers

    Web apps, SaaS platforms and APIs.

  • Mobile developers

    iOS, Android and cross-platform apps.

  • Cloud & DevOps engineers

    Azure, AWS, CI/CD and monitoring.

  • QA & performance testers

    Test automation, load and regression testing.

  • Delivery managers

    Plans, daily updates and clear communication.

Who you’ll work with

Anuj Gupta

Engineer first. Still hands on.

I help companies get more from the software they already run: faster, more reliable, and ready for AI.

I work directly with clients and our engineers on architecture, technical decisions and delivery. I start with the business: what you need to achieve, and where time, money or customers are being lost today. Then I propose a clear plan, with AI only where it genuinely pays off.

I founded AgileLancer Infotech as a small, senior team that understands the business, moves fast and owns the outcome, without the overhead of a large consultancy. Most of our clients have stayed with us for years.

See selected work More about Anuj
Anuj Gupta

Based in Mohali, India. Working with teams in Europe, the Middle East and the US.

23 years
Software engineering & leadership
.NET & Azure
SaaS, APIs & cloud architecture
Practical AI
RAG, agents & workflow automation
“It has been a privilege to collaborate closely with Anuj for over a decade. Throughout this time, he has consistently demonstrated exceptional technical expertise, visionary leadership, and an entrepreneurial mindset that drives innovation and growth. Anuj has been instrumental in transforming Ventla’s product team from a small startup operation of just the two of us into a high-performing group of over 20 skilled professionals. His talent for identifying, recruiting, and empowering top talent has been a key factor in the company's sustained growth and success. What truly sets Anuj apart is his remarkable ability to deliver high-quality software at a rapid pace while fostering a positive and engaging work environment. Under his leadership, the team achieved exceptional results, not only in product delivery but also in maintaining high employee satisfaction and morale. Anuj’s strategic vision, hands-on leadership, and skillset in Software Engineering make him an invaluable asset to any organization. I highly recommend him to anyone seeking a leader who drives growth, inspires teams, and consistently delivers exceptional outcomes.”
Marcus Falck · AI & Cloud Architect
Read all 33 on LinkedIn

Selected writing

  • 24/7 coverageTeams in India and the US keep your work moving around the clock.
  • Weekly demosYou see working software every week.
  • Full visibilityClients get a login to AgileTask, our private delivery tracker.

Ways to work with us

For a clear, defined goal

Fixed-scope project

Agreed scope, milestones and price before we start.

For ongoing product work

Dedicated team

Engineers who work as part of your team and scale with your roadmap.

For systems in production

Support agreement

A monthly block of hours for maintenance and improvements, with agreed response times.

Working with us

The things you would ask about in the first call.

Ownership, security, contracts and hours, answered up front.

  • You own everythingCode, IP and repositories live in your GitHub or Azure DevOps from day one.
  • NDA from the startWe are happy to sign your NDA before we see any code, data or plans.
  • Contracts that suit youClear agreements with defined scope and IP terms; we are open to working on your contract template.
  • Overlap with your working dayTeams in India and the US mean daily overlap with European, Middle East and US working hours.
  • Security by defaultMulti-factor sign-in, access only to what the work needs, and secrets kept in a key vault.
  • Clear, predictable pricingFixed-price pilots or monthly retainers, agreed up front, with no surprises on the invoice.

Credentials

FAQ

Common questions.

AgileLancer (also written Agile Lancer; legally AgileLancer Infotech) is an AI and software engineering consultancy. We help companies turn the products they already run into secure, AI-powered ones, and build reliable software for web, mobile and the cloud.

We are based in Mohali, India, with engineers in India and the US. Our clients are product teams in Europe (Sweden, Norway and the United Kingdom), Saudi Arabia and the United States.

Yes. The engineers who start your project stay on it, so knowledge is never lost. With engineers in India and the US, we cover your working day and offer 24/7 support.

Yes. Most of our AI work is exactly that. We add AI features to existing .NET, Node.js, Python and mobile applications, without rebuilding them.

No. We are a full IT consultancy: software, mobile, cloud and databases. AI is where we can add the most on top of that foundation.

Yes. We work under NDA, use enterprise AI services such as Azure OpenAI where your data is not used for training, and only access what the work requires.

Yes. We review AI applications for data exposure and misuse risks, add guardrails and human approval for sensitive actions, protect against prompt injection, and set up monitoring and audit trails.

Yes. Most clients start with a short, fixed-scope project. If it works well, we continue with a dedicated team or a support agreement.

Contact

Let’s talk about your next step.

Tell us what you have today and where you want to go.

  1. 1We reply within one business dayAn engineer reads every message.
  2. 2A 30-minute call with AnujWe go through your goals, systems and timeline.
  3. 3A clear proposalScope, team, timeline and a fixed or monthly price.

Your details stay private. Privacy policy · NDA on request.