AI engineering for enterprise · Building since 20164 products · run on our own ops · 30+ enterprise clients
NLP Solutions · Bengaluru

NLP, delivered the way we deliver every production AI system: in weeks, not quarters

Sentiment, summarization, classification, and multilingual analysis — built through the same six-step process, from discovery to monitoring, we use on every engagement.

6Steps · discovery to monitoring
30+Enterprise clients
2016Building since
300People run on our own AI
Book a Discovery Sprint → The first call is free · 45 minutes · no obligation
01 · What We Deliver

Reports, feedback, and documents are piling up — unread, unused, untranslated.

Banao Technologies builds the NLP systems that turn unstructured feedback, reports, and multilingual content into insight and automated action — without a person reading every line.

Book a Discovery Sprint
  • minimal line icon of a speech bubble with a small waveform inside, sentiment-reading concept
    01

    Sentiment Analysis

    Reads feedback, reviews, and support threads for tone and urgent negative sentiment at a volume no team can read manually.

  • minimal line icon of three documents sorting into labeled folders, classification concept
    02

    Text Classification

    Routes incoming documents, tickets, and reports into the right category and queue automatically.

  • minimal line icon of a long text block collapsing into three short lines, summarization concept
    03

    Summarization

    Condenses long reports and feedback threads into short summaries a person can act on in seconds.

  • minimal line icon of two overlapping speech bubbles each with a different script glyph, multilingual concept
    04

    Multilingual Analysis

    Processes feedback and documents across languages without a separate translation step.

  • minimal line icon of scattered text fragments converging into a single structured table row, insight-extraction concept
    05

    Insight Extraction

    Turns unstructured text into structured fields a downstream system or dashboard can use.

  • minimal line icon of a bolt triggering a forward arrow into a checklist, automated-action concept
    06

    Automated Action

    Triggers the next step — a routed ticket, a flagged report, an alert — the moment the system finds something that matters.

02 · HOW WE DELIVER

How We Turn Backlog Into a Working System — Six Steps, Your Data

Every engagement runs the same sequence, in weeks — the sequence we run against our own 300-person operation first.

01

Discovery Sprint

Scope the problem, the data, and the metric that defines success in one week.

02

Data & Systems Audit

Map every source, access point, and constraint before writing code.

03

Build in Weeks

A working system against your real data — not a pilot deck.

04

Test Against Production Load

The system runs on live volume before it earns a release.

05

Deploy & Integrate

Wired into the stack you already run, not a parallel tool to remember.

06

Monitor & Iterate

Instrumented after launch, watched the way we watch our own systems.

Stop Losing Insight to Unread Text — Book a Discovery Sprint
03 · Recent Work

We do not sell you software we hope works. We sell you the software we depend on.

— how Banao runs its own ~300-person operation

30+

enterprise clients running production systems, including Swiggy, Myntra, PhonePe, Indian Oil, and HCL

2016

the year we started building production AI — not pilots, not slideware

5

offices in Bengaluru, Chandigarh, Dubai, Cambridge (UK), and California (US)

04 · Why Trust The Process
"We do not sell you software we hope works. We sell you the software we depend on."
— Banao Technologies

We run our own ~300-person operation on our own AI — InterviewGod for hiring, Vikaas for outreach, Vidya for upskilling.

Also building for
Swiggy
Myntra
PhonePe
Times Internet
Indian Oil
HCL
CP Plus
RAK Ceramics
Foot Locker
Majra
30+ enterprise clients · building since 2016
05 · FAQ

Before you book the sprint, the honest answers

We built this page without a Bengaluru NLP case study to point to. Here's what we can tell you instead.

30+enterprise clients
2016building since
Do you have an NLP case study for Bengaluru?
Not one we can point to for this service line specifically. What we can show is the process: the same six-step delivery, discovery to monitoring, that we run across all 30+ clients — and the fact that we run our own 300-person operation on the AI we build.
How is this different from an off-the-shelf NLP API?
You own what we build — the code, the models, the pipeline — inside your infrastructure. No subscription to a system you can't see inside, no lock-in.
How long does deployment take?
Weeks, not quarters. Sentiment, summarization, classification, and multilingual analysis all move through the same six-step process — discovery to monitoring — we use on every engagement.
Who else has Banao built production AI for?
30+ enterprise clients since 2016, including Swiggy, Myntra, PhonePe, Times Internet, Indian Oil, HCL, CP Plus, RAK Ceramics, FootLocker, and Majra — plus InterviewGod, Vikaas, and Vidya, the systems our own 300-person team runs on daily.
Do we need Banao after the system is deployed?
No. You own the system outright. We stay on for monitoring and iteration only if you want us to — not because you're locked in.
06 · Get Started

See if your data fits our process

Banao Technologies deploys production NLP systems for enterprises — built by the team that runs its own 300-person operation on its own AI. A Discovery Sprint costs nothing, takes little of your time, and carries no obligation to continue.

  • Free to start
  • Short session
  • No commitment

30+ enterprise clients. Building production AI since 2016. Proven first inside our own operation.

Book a Discovery Sprint →