Our Services

AI app development
services

Strategy, design, engineering, and the AI work, run by one team. From the first whiteboard to the production deploy, across web, mobile, and cloud.

Engagement

How you can work with us

Pick the shape that fits the stage you are at. Most engagements move from one into the next as the product grows.

Prototype

2 to 4 weeks

A focused proof of concept that proves the hard part of your idea works. Clickable UX, the core feature running end to end, and a link you can share.

Testing the idea with users or investors

MVP

8 to 16 weeks

The smallest product that solves the problem for real users. Built on the same backbone the production system will use, so you do not throw it away when you grow.

Going to market with the first version

Full product

12 to 24 weeks

Strategy, design, engineering, the AI work, and launch, run by one team. We take the product from the first whiteboard to production traffic.

Shipping a complete product to customers

Ongoing retainer

Monthly

After launch we stay on. Bug fixes, monitoring, new features, and the work that keeps the product improving once real users are inside it.

Post-launch iteration and support

Team augmentation

Flexible

Our engineers embed alongside your team or take a separate workstream. We work with the stack and rhythm your team already uses.

Adding capacity to your existing team
Our Process

How we build products

LIVE PIPELINE
01

Discovery & Strategy

We map your users, market, and the actual problem. The roadmap that comes out fits the budget you actually have.

02

UX & Product Design

Wireframes, prototypes, and a working design system. Every screen traces back to a user research finding, not to a hunch.

03

Architecture & Setup

Picking the stack, setting up the infrastructure, and writing the kind of code you will still want to read in two years.

04

Development Cycles

Two-week sprints, demos every Friday, and the room to change direction when something is not working.

05

QA, Testing & Hardening

Automated tests, manual QA on the devices your users actually carry, and a security and performance pass before we ship.

06

Launch & Iteration

We deploy, we watch the dashboards, and we keep iterating on what real users do once the product is in their hands.

Working prototype from $1,000. Real UX, core features, and a demo link you can send to investors.

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Industries

Industries we serve

Where we have done our deepest work.

Property decisions are expensive and slow. We have built systems that price assets in real time, surface market signals most teams miss, and turn scattered listing data into a usable signal for brokers, developers, and proptech startups.

Property insightsAutomated valuationAI advisoryPredictive pricingMarket analysis

Venue operators, festival teams, and hotel groups all run on the same problem: matching staff and resources to a moving schedule. We have built AI concierge systems, dynamic scheduling engines, and guest-management platforms that handle that work in the background.

Guest managementDynamic schedulingAI conciergeRSVP automation

Banks, lenders, and neobanks live inside a regulator's clock. We build the fraud-detection pipelines, risk-scoring models, and KYC automation that let a team move faster without stepping outside compliance.

Fraud detectionRisk scoringKYC automationPersonalized insights

HealthTech work has to clear HIPAA and GDPR from day one. We build predictive triage, patient-engagement platforms that hold attention between visits, and records-automation tools that take the paperwork off clinicians' desks.

Predictive triagePatient engagementRecords automationCompliance

Recommendations, demand forecasting, on-site search. The work is concrete: build models that adapt in real time to what shoppers are doing, and tune inventory and pricing off the same signal.

RecommendationsDemand forecastingSearch & discoveryDynamic pricing

Most of the data a factory floor generates gets thrown away. We build the predictive-maintenance models and quality-control pipelines that turn it into early warnings, and we plug them straight into the ERP the plant already runs.

Predictive maintenanceQuality automationSupply-chain AIERP integration

Curricula built for the average student serve none of them. We build adaptive learning platforms and AI tutoring assistants that adjust to each learner, plus the analytics dashboards that give teachers visibility into who is falling behind.

Adaptive learningAI tutoringContent generationLearning analytics

SaaS scale problems land together: multi-tenancy, usage metering, retention. We have shipped AI copilots, workflow-automation engines, and analytics layers that slot into existing SaaS platforms, so product teams can ship intelligent features without a rebuild.

AI copilotsWorkflow automationUsage analyticsMulti-tenant scale
Why Choose Us

What you get when you work with us.

We ship code that runs in production, holds up under load, and earns trust from the teams that depend on it.

01

Speed, stability & high performance

We optimise for load time, zero-downtime deploys, and infrastructure that takes a traffic spike without paging anyone at 3am.

02

Intelligent AI features out of the box

Every product we ship comes with AI built in where it earns its place. Smart search, recommendations, predictive analytics, automation. Not bolted on, not in phase two.

03

Secure, enterprise-grade development

SOC 2-aligned process, encrypted data pipelines, role-based access, and a security review on every release. The audit trail is there when procurement asks for it.

FAQ

Frequently asked questions

How long does a typical project take?

Most MVPs ship in 8 to 12 weeks. Larger products with AI components typically take 12 to 20 weeks. We will give you a realistic timeline once we have had the discovery call.

What does a prototype cost?

Prototypes start at $1,000 for a focused proof of concept. Full MVPs sit between $5,000 and $25,000 depending on complexity, how much AI is involved, and which platforms you need to ship on.

Do you work with early-stage startups?

Yes. About half our clients are pre-seed to Series A. We are used to requirements that move, budgets that are tight, and the occasional pivot.

Can you integrate AI into our existing product?

Yes. We regularly add search, recommendations, automation, and content generation to existing codebases. A full rebuild is rarely required.

What AI models and platforms do you use?

We do not standardise on one vendor. We work with OpenAI GPT, Anthropic Claude, Google Gemini, open-source models like Llama and Mistral, and custom fine-tuned models where the use case calls for it.

How do you handle ongoing maintenance?

We run monthly retainers for post-launch support, monitoring, bug fixes, and feature work. Most clients stay on one after launch.

What if we already have a technical team?

We plug in however fits best. Embedded engineers inside your team, a parallel squad on a separate workstream, or advisory consultants reviewing your roadmap. We work with whatever stack and rhythm your team already uses.

Contact

Tell us what you are building.

Send a few lines about the project. We will reply within 24 hours with a free consultation and a rough estimate.

LocationJaipur, Rajasthan, India