Anekant AI logoAnekant AI
Meta Tech Provider · WhatsApp Business Platform

Software that thinks.
Built by people who ship.

Anekant AI is a product engineering studio. We take AI out of the demo and into production — LLM-powered platforms, WhatsApp automation, real-time collaboration tools, and the data pipelines underneath them.

5+LIVE ANEKANT AI PRODUCTS
100+CLIENT PROJECTS SHIPPED
ISTGLOBAL REACH
 anekant / production.py
from anekant import Agent, Pipeline

agent = Agent(
    model="claude-sonnet-5",
    tools=["whatsapp", "crm", "payments"],
)

# not a demo — this runs your business
pipeline = Pipeline(agent)
pipeline.deploy(target="production")
# ✓ live · monitored · humans in the loop

Six ways we turn AI into working software

Every engagement ends with something running in production — never a slide deck.

[01]

AI & LLM Integration

Claude and GPT wired into your real workflows — retrieval, agents, tool use, and evaluation. Grounded answers from your data, not hallucinated ones.

ai-services
[02]

WhatsApp & Messaging Automation

Business API integrations, AI-assisted chat dashboards, campaign flows, and order journeys — on the channel your customers already use.

whatsapp platform
[03]

Custom Web Platforms

Full-stack products from schema to pixels — dashboards, portals, and SaaS. React/Next front ends on typed APIs with real-time where it matters.

services/web
[04]

Data Pipelines & Scraping

Compliant, resilient collection from portals and marketplaces, cleaned into queryable stores that feed your models and reports.

services/data
[05]

Serverless & Edge Backends

APIs that run near your users and cost nothing while idle — functions, SQL, and file storage at the edge, with no servers to size or patch.

services/cloud
[06]

MVP & Product Sprints

Idea to a live, testable product in weeks. Scoped sprints with weekly demos, so you validate with users instead of documents.

services/mvp

Weeks, not quarters

STEP 01MapA working session to pin the real problem, the data you have, and what "done" means.
STEP 02PrototypeA thin, working slice in the first week — clickable, testable, honest about risk.
STEP 03ShipProduction build with evals, monitoring, and humans in the loop where it counts.
STEP 04RunWe stay on for iteration — measuring outcomes, not just uptime.

Have a process AI should be doing?

Tell us what eats your team's hours. We'll reply within a day with an honest read on whether AI helps — and a plan if it does.

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