Production-grade AI · Evals-first delivery

team for The AI engineering enterprises who can’t afford to fail.

We design, build, and operate enterprise-grade AI — generative AI, autonomous agents, computer vision, ML platforms. 120+ AI engineers, 7+ year avg, all senior.

Evals-first Measured before release
VPC-deployed Your data stays yours
2-week MVP From kickoff to demo
Inference
184ms
p99 latency · 2.4M/day
Production · live
# 0.91 accuracy
api = Client(
  region="in-blr-1",
  sla="99.99"
)
Pipeline · Active
Processed142 jobs
Succeeded138 / 142
Flagged3 anomalies
Observability
98%SLO
Tier-1 services · 30d
4.9 · Google
ISO 27001
HIPAA Ready
GDPR Compliant
Clutch Top 1%
About Our AI Practice

The AI engineering partner enterprises
pick when AI has to work in production.

Most AI projects die at the production cliff — they demo well, then fail on cost, latency, hallucination, or compliance. We’re built for the other side of that cliff. Our 120+ AI engineers build LLM products, agentic systems, and ML platforms that handle real enterprise traffic, real data, and real compliance.

Whether you’re a Fortune 500 looking to embed AI into your existing stack, or a venture-backed scale-up needing an AI-first product built from scratch — we’ve delivered it. 3,500+ projects. 120+ AI engineers. 13+ years of engineering rigor.

3500+
Projects delivered
120+
AI engineers
97%
Retention rate
32
Countries served
AI Development
Average MVP delivery
2.5 weeks
Customer NPS
+78
Top 3% globally
Our AI Development Services

Eight AI capabilities,
one delivery org.

Generative AI Apps

Custom chatbots, copilots, content generators and document AI built on GPT-4, Claude, Gemini or open-source models.

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AI Agents & Automation

Autonomous multi-step agents that execute workflows across your tools, APIs and databases with human-in-the-loop control.

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Computer Vision

Detection, classification, OCR, segmentation and video AI — including on-device and edge deployment.

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Predictive ML

Forecasting, classification, churn prediction and anomaly detection on tabular and time-series data.

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Voice & Speech AI

STT, TTS, voice agents, sentiment analysis and real-time call coaching built on Whisper, Deepgram and ElevenLabs.

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LLM Fine-Tuning

Domain-specific fine-tunes, LoRAs and DPO that beat foundation models on your tasks at a fraction of the cost.

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ML Ops & Platform

End-to-end ML platform — training, serving, monitoring, evals, governance — running inside your VPC.

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Enterprise AI Integration

Embed AI into SAP, Salesforce, ServiceNow, Workday and your data lake — with governance from day one.

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Industries We Serve

AI built for the way your industry actually works.

Healthcare

HIPAA · Telehealth

Fintech

RegTech · Lending

E-commerce

Personalization · Search

Manufacturing

Predictive QA · IIoT

EdTech

AI Tutors · LMS

Logistics

Route AI · Fleet

InsurTech

Underwriting · Claims

Media

Content AI · Recs

Travel

Dynamic pricing · CX

Real Estate

Valuation AI · CRM

AgriTech

Crop AI · Drones

Energy

Smart grid · Forecasting
Why WebSenor

Why enterprises pick us over the other 47,000 AI agencies.

01

Senior-only engineers

7+ years average experience. Zero junior-bench dumping after the sales call.

02

Evals-first delivery

Every LLM project ships with a regression test suite. We measure before we build.

03

Data sovereignty

Deployed in your VPC. Your data never trains a vendor’s model. Period.

04

2-week kickoff

From signed contract to first sprint demo in 14 days. Bench is real, not theoretical.

05

100% IP transfer

Source code, model weights, prompts and infrastructure — all yours at delivery.

06

Enterprise compliance

ISO 27001 + HIPAA + GDPR. Audit packs ready, not promised.

Our AI Development Process

From “what if” to
production AI in 4 phases.

01

AI Discovery & Audit

Workshops, data audit, use-case validation, technical feasibility. Locked SOW at the end of week one.

02

Prototype & Evals

2–4 week working prototype with measured accuracy on your data. Cost/latency benchmarks. Go/no-go decision.

03

Production Build

2-week sprints, weekly demos, CI/CD from day one. ML Ops, evals and observability delivered alongside.

04

Scale & Optimize

Live monitoring, fine-tuning, cost optimization and feature expansion. Quarterly business reviews.

Our AI Tech Stack

100+ technologies, one delivery standard.

 Foundation Models

GPT-4.1
Claude Sonnet
Gemini 2.5
Llama 3.3
Mistral
Qwen 2.5
Phi-3
Cohere

 AI Frameworks

LangChain
LangGraph
LlamaIndex
CrewAI
PyTorch
TensorFlow
HuggingFace
vLLM

 Vector DBs

Pinecone
Weaviate
Qdrant
pgvector
Milvus
Chroma
Elasticsearch
Redis Vector

 Cloud AI

AWS Bedrock
Azure OpenAI
Vertex AI
SageMaker
Databricks
Snowflake Cortex
Replicate
Modal

 ML Ops & Evals

LangSmith
Langfuse
W&B
MLflow
Arize
WhyLabs
Datadog ML
Guardrails
Frequently Asked Questions

Everything enterprises
ask us before signing on.

How long does an AI MVP usually take?
Most LLM-based MVPs land in 4–8 weeks. Computer vision or model-training projects typically run 8–14 weeks depending on data readiness. We commit to a delivery date after the 1-week discovery phase — and we hit it on 97% of projects.
Do we own the model and the code?
Yes — 100%. All source code, fine-tuned model weights, prompts, ML Ops infrastructure and documentation are transferred to you at delivery. We sign IP-assignment clauses upfront in the MSA.
Can the AI run inside our VPC / on-prem?
Absolutely. We routinely deploy on AWS, Azure and GCP private VPCs. For clients with strict data-residency or air-gap needs we support fully on-prem deployments using open-source models.
How do you handle hallucinations and accuracy?
Every project gets an evals harness: a golden dataset, automated regression tests on every model/prompt change, and production drift detection with alerting. We don’t release an LLM feature without measured accuracy on your data.
Which foundation model should we use?
It depends on the use case. We benchmark GPT-4, Claude, Gemini and open-source models against your task during the audit. Sometimes a smaller open-source model beats a frontier model at a fraction of the cost.
How do you ensure data privacy & compliance?
We’re ISO 27001 certified. We sign DPAs and BAAs upfront. We support HIPAA, GDPR, PCI-DSS and regional data-residency requirements.
What happens after launch?
Every Fixed Scope project includes a 3-month post-launch warranty. After that, optional support packages range from business hours to 24×7 SLA-backed. Most clients move to a Dedicated Team for ongoing iteration.
Can you work with our existing engineering team?
Yes. Staff Augmentation and Dedicated Team models are designed for it. Our engineers join your Slack, Jira and GitHub, pair-program with your team and hand off cleanly.
Free Consultation

Let’s discuss
your AI project — together.

Tell us what you’re trying to build. Within 24 hours you’ll get a technical perspective, a recommended approach and an honest read on what’s realistic — from a senior AI engineer, not a sales rep.

Email Ussales@websenor.com
Call UsIndia: +91-9950834560
US: +1-3322638701
OfficesBangalore · Mumbai · NYC
WhatsAppChat with sales 24×7

What you get in the consultation

Use-case feasibility verdict
Recommended model & stack
Realistic cost & timeline
Risk & accuracy benchmarks
Compliance roadmap
90-day delivery plan

Tell us about your project

We'll respond within 24 hours.
We sign NDAs upfront · No spam, ever
By The Numbers

12+ years of delivering production AI

3500+

Enterprise projects delivered

120+

AI / ML engineers in-house

$50M+

Client outcomes delivered

32

Countries served globally
Limited spots · Apr–May 2026

Discuss your AI project.
Get a quote in 4 hours.

30 minutes with a senior AI engineer · honest feasibility verdict · technical approach · realistic cost. No sales pitch.

● Explore More

Every service WebSenor offers.

One partner for AI, web, mobile, cloud, data, design and growth. 13+ years of senior-led delivery from India.

📱 Mobile App DevelopmentiOS · Android · Flutter · React Native 🌐 Web DevelopmentNext.js · Laravel · WordPress · Headless 🤖 AI & ML DevelopmentGenAI · RAG · Agents · Computer Vision ⚙️ Custom SoftwareEnterprise platforms, SaaS, automation ☁️ Cloud & DevOpsAWS · Azure · GCP · Kubernetes · CI/CD 🎨 UI/UX DesignFigma · Design systems · Prototyping 📊 Data Engineering & BISnowflake · dbt · Power BI · Tableau ☁️ Salesforce ConsultingSales Cloud · Service Cloud · CPQ · Pardot 🧲 HubSpot DevelopmentCMS Hub · CRM customization · workflows 📣 Digital MarketingSEO · Performance · Content · Conversion
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