Business Discovery
Identify problems AI can solve, conduct opportunity mapping, and define success metrics with key stakeholders.
Hire AI Engineers Who Ship to Production, Not Just Demos
Most AI hires look strong in interviews and stall in production — the model that demoed cleanly meets real latency, messy data, auth, and evaluation, and the project slips two quarters. Banao places AI engineers who have already deployed, instrumented, and monitored systems under production load. Every engineer is screened through InterviewGod, the same hiring system we run across our own 300-person operation — so the people you onboard are vetted the way we vet our own.
The Bottleneck Isn't AI Talent — It's Vetting It
The shortage that stalls AI roadmaps isn't headcount; it's the months it takes to tell a genuine production engineer from a strong interviewer. A take-home test won't surface whether someone can ground a model, build an evaluation harness, or debug inference under load. Banao removes that risk by deploying engineers who have already done it — drawn from the teams behind production work for Swiggy, Myntra, and PhonePe — and held accountable for delivery, not hours billed.
What Your Banao AI Engineers Build
Hire a single engineer or a full pod. Each is production-fluent across the stack below — data pipelines, model training, deployment, evaluation, and monitoring — and works inside your codebase, not a side project.
Scope Your AI Team
AI Strategy & Solution Architecture
We define your AI adoption roadmap, including feasibility assessment, model selection, system architecture, and KPIs aligned to business outcomes.
AI-Powered Virtual Assistants
Develop intelligent assistants for sales, support, or internal automation using conversational AI, voice recognition, and NLP techniques.
Predictive Analytics & Forecasting
Forecast demand, churn, or financial outcomes with ML pipelines backtested against your historical data and monitored for drift after deployment — not tuned once and abandoned.
Computer Vision Solutions
Implement AI models that recognize images, detect anomalies, interpret visual data, and automate quality inspection workflows.
AI-Powered Recommendation Engines
Build intelligent systems that provide personalized recommendations based on behavioral patterns and data clustering.
Intelligent Document Processing
Use AI for document parsing, data extraction, form understanding, and automating workflows from structured or unstructured inputs.
Voice & Speech Recognition
Convert voice to text and enable natural speech interactions using automatic speech recognition (ASR) and voice AI solutions.
Custom AI Development & Integration
We build custom AI solutions integrated with your digital systems — whether it’s ERP, CRM, or industry-specific software platforms.
Industries Our AI Engineers Have Shipped In
E-commerce
Deploy recommendation systems, AI chat support, and inventory forecasting to improve engagement and operational efficiency.
Education
Create AI tutors, grading automation, and personalized learning tools that adapt to student needs and improve outcomes.
Healthcare
Enhance diagnostics, automate clinical workflows, and enable real-time patient monitoring using AI-powered systems.
Finance
Detect fraud, analyze risk, automate documentation, and make smarter trading decisions using predictive AI analytics.
Manufacturing
Use computer vision and predictive analytics for quality control, maintenance forecasting, and supply chain optimization.
Real Estate
Build smart pricing models, automate documentation, and offer AI-enabled chat solutions for virtual property assistance.
Recent Work
Design | Web Development | Android App Development | AI/ML
Manentia AI
In 2020, Manentia AI emerged to streamline diagnostics. Their teletracking software empowers physicians with accurate reports, allowing dedicated patient care anytime, anywhere.
Our AI Development Lifecycle
Data Acquisition & Labeling
Collect and curate structured and unstructured datasets. Perform tagging, cleaning, and annotation using expert tools.
Model Building
Design and train the appropriate AI/ML models using state-of-the-art algorithms, frameworks, and your business data.
Evaluation & Optimization
Run tests using business-relevant metrics. Tune models for accuracy, reliability, and safety before integration.
Deployment & APIs
Deploy AI via scalable APIs or embed into internal/external systems. Ensure uptime, latency, and data governance.
Support & Evolution
We offer maintenance, continuous learning pipelines, performance audits, and regular retraining to keep models sharp.
Client Testimonials
Rohan M.
VP Engineering, mid-market fintech
Priya N.
Head of Data, healthcare platform
They onboarded like senior hires, not contractors
We needed AI engineers who could own a forecasting service end to end. The Banao engineers shipped to production, set up monitoring, and stayed accountable through two release cycles — no ramp drama, no hand-holding.
Where we're located
Let's Build Something Great Together. 🤝
Here is what you will get for submitting your contact details.
45 minutes of free consultation- A strict non-disclosure agreement
- Free market & competitive analysis
- Suggestions on revenue models & planning
- Detailed feature list document
- No obligation proposal
- Action plan to kick start your project
Frequently asked questions
How fast can a Banao AI engineer start?
Most engagements start within one to two weeks. Because our engineers are already vetted and production-experienced, there's no multi-month sourcing-and-screening cycle — the delay is contracting and onboarding to your codebase, not finding the person.
How do you vet AI engineers before placing them?
Every engineer is screened through InterviewGod, the same hiring system we run across our own 300-person operation — technical assessment on real production scenarios, not whiteboard puzzles. You also interview shortlisted engineers yourself before committing.
Can I hire one engineer, or do I need a full team?
Both. You can embed a single engineer into your existing team or stand up a full pod with a lead, depending on scope. We right-size to the work rather than pushing a fixed bench.
What if the engineer isn't the right fit?
We replace them, and the first weeks are structured as a trial so a mismatch costs you onboarding time, not a quarter. We'd rather swap early than have you carry a hire that isn't working.
Do your engineers work in our codebase and tools?
Yes. They integrate into your repositories, CI, ticketing, and review process and follow your security and access controls — engineers who operate like your own team, not an external project running in parallel.
How do you handle IP, security, and data access?
All work is covered by IP assignment and NDAs, access is scoped to what the engagement requires, and engineers follow your data-governance and compliance requirements. Sensitive data stays inside your environment.