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.
rag = RAG(
model="sonnet-4.6",
rerank=True
)
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. Custom+ in measurable client outcomes. 3500+ projects. 12+ years of engineering rigor.
Eight AI capabilities,
one delivery org.
Whether you need a Generative AI copilot, an autonomous agent, a computer-vision pipeline, or a full ML platform — we cover the entire AI lifecycle.
Generative AI Apps
Custom chatbots, copilots, content generators, and document AI built on GPT-4, Claude, Gemini, or open-source.
- RAG systems & knowledge AI
- Domain fine-tuning
- Multi-modal AI (text, image, voice)
AI Agents & Automation
Autonomous multi-step agents that execute workflows across your tools, APIs, and databases.
- Multi-agent orchestration
- Tool & API integration
- Human-in-the-loop systems
Computer Vision
Detection, classification, OCR, segmentation, and video AI — including on-device & edge deployment.
- Object & scene detection
- Medical & industrial imaging
- Real-time video analytics
Predictive ML
Forecasting, classification, churn prediction, and anomaly detection on tabular & time-series data.
- Demand & sales forecasting
- Customer segmentation & LTV
- Fraud & risk modeling
Voice & Speech AI
STT, TTS, voice agents, sentiment analysis, real-time call-listening — built on Whisper, Deepgram, ElevenLabs.
- Voice bots & IVR replacement
- Multilingual transcription
- Sales call coaching AI
LLM Fine-Tuning
Domain-specific fine-tunes, LoRAs, and DPO that beat foundation models on your specific tasks at 1/10 the cost.
- Llama, Mistral, Qwen tuning
- Synthetic data generation
- Evals & benchmarking
ML Ops & Platform
End-to-end ML platform — training, serving, monitoring, evals, governance — running in your VPC.
- Model registry & versioning
- Drift detection & alerting
- A/B testing & shadow mode
Enterprise AI Integration
Embed AI into SAP, Salesforce, ServiceNow, Workday, and your existing data lake — with governance from day one.
- SAP & Salesforce connectors
- Snowflake / Databricks AI
- Identity & RBAC integration
Types of AI products
we build every quarter.
From customer-facing copilots to back-office automation — we've delivered AI products in nearly every category.
GenAI · Chat
AI Chatbots & Copilots
Customer support, sales assist, internal copilots — grounded on your data with safety guardrails.
- Multi-channel (web, WhatsApp, voice)
- RAG over private knowledge base
- Human handoff & escalation
Agents · Automation
Autonomous AI Agents
Agents that execute multi-step workflows — research, draft, send, reconcile — without human babysitting.
- Sales prospecting & outreach
- Finance reconciliation
- Operations & ticket triage
Vision · ML
Computer Vision Systems
Quality inspection, security, retail analytics, medical imaging — including edge deployment.
- Defect detection on production lines
- Smart retail & people analytics
- Medical image triage
Predictive · ML
Predictive AI Platforms
Forecasting, scoring, churn prediction, and recommendation engines that run in production.
- Real-time recommendation engines
- Demand & inventory forecasting
- Customer churn & LTV models
Document AI
Document Intelligence
Extract, classify, and summarize unstructured documents at scale — contracts, invoices, claims.
- Contract review & extraction
- Invoice & receipt processing
- Compliance review automation
Voice · Speech
Voice AI Solutions
Voice bots, call analytics, transcription, and real-time coaching for support and sales teams.
- AI voice agents for inbound calls
- Live agent assist & coaching
- Multilingual call analytics
AI built for the way
your industry actually works.
Domain expertise across 12 verticals — including the regulated, high-stakes ones where AI mistakes have real consequences.
Healthcare
HIPAA · TelehealthFintech
RegTech · LendingE-commerce
Personalization · SearchManufacturing
Predictive QA · IIoTEdTech
AI Tutors · LMSLogistics
Route AI · FleetInsurTech
Underwriting · ClaimsMedia & Entertainment
Content AI · RecsTravel & Hospitality
Dynamic pricing · CXReal Estate
Valuation AI · CRMAgriTech
Crop AI · DronesEnergy & Utilities
Smart grid · Forecasting10 reasons enterprises pick us
over the other 47,000 AI agencies.
The AI agency market is loud. Here's what's actually different about us — and what we'll never compromise on.
Senior-only engineers
7+ years average experience. Zero junior-bench dumping after the sales call.
Evals-first delivery
Every LLM project delivers with a regression test suite. We measure before we build.
Production-grade by default
ML Ops, monitoring, evals, A/B tests — included, not invoiced separately.
Data sovereignty
Deployed in your VPC. Your data never trains a vendor's model. Period.
Outcome-based pricing
Fixed scope, milestone-based payments, or risk-share — we say no to T&M sprawl.
2-week kickoff
From signed contract to first sprint demo in 14 days. Bench is real, not theoretical.
4 time-zone coverage
Engagement managers in IST, GST, GMT, EST. Never lose a working day.
100% IP transfer
Source code, model weights, prompts, infrastructure — all yours at delivery.
Enterprise compliance
ISO 27001 + SOC 2 + HIPAA + GDPR. Audit packs ready, not promised.
ROI-driven scope
We'll say no to AI features that won't pay for themselves. Honestly.
Real product managers
Senior PMs run every account — not body shops, not freelancers.
Post-launch SLAs
3-month warranty included. 24×7 ongoing support packages available.
From "what if"
to production AI in 4 phases.
Same proven playbook for a 6-week MVP or a 24-month enterprise platform. Predictable. Repeatable. De-risked.
AI Discovery & Audit
Workshops, data audit, use-case validation, technical feasibility. Locked SOW at the end of week one.
Prototype & Evals
2-4 week working prototype with measured accuracy on your data. Cost/latency benchmarks. Go/no-go decision.
Production Build
2-week sprints, weekly demos, CI/CD from day one. ML Ops, evals, observability delivered alongside.
Scale & Optimize
Live monitoring, fine-tuning, cost optimization, feature expansion. Quarterly business reviews.
Inside every sprint
Mon · Plan
Sprint scope locked, capacity confirmed
Tue-Thu · Build
Code, evals, PR reviews, daily standups
Fri AM · Test
QA, evals regression, performance check
Fri PM · Demo
Live demo with you · sprint retro
100+ technologies.
One delivery standard.
We pick the tech that fits your problem — not whatever we sold last quarter. Multi-cloud, multi-model, open-source-friendly.
Foundation Models
AI Frameworks & Libraries
Vector DBs & Embeddings
Cloud AI Platforms
ML Ops & Evals
Pick the model that
fits your stage.
Same senior engineering bar, three commercial structures. Switch any time.
Fixed Scope
Locked SOW, fixed price, fixed timeline. Risk on us.
- Detailed SOW with milestones
- Dedicated PM + tech lead
- Weekly sprint demos
- Code + IP at delivery
- 3-month post-launch warranty
- Best for greenfield AI MVPs
Dedicated Team
Hand-picked engineers as your extended in-house unit.
- Full-time, dedicated engineers
- Includes PM + tech lead
- Scale up or down monthly
- Operates on your tooling
- Quarterly business reviews
- Direct-hire rights after 12 months
Staff Augmentation
Drop senior AI engineers into your team within 2 weeks.
- Hourly billing
- Senior AI/ML only
- 2-week onboarding
- Replace any time, no penalty
- Joins your standups & repos
- Best for augmenting in-house teams
Detailed Model Comparison
Hire the top 2%
of AI engineering talent.
Anonymized profiles of engineers currently available. Full profiles shared after a discovery call.
A. Krishnan
9 yrs · Ex-Razorpay ML · Built RAG copilots for 2 YC-backed startups
P. Sharma
11 yrs · Ex-Flipkart ML Platform · Built fraud + recs systems at scale
S. Iyer
8 yrs · Ex-Swiggy CV team · Deployed YOLO models to 14k devices
R. Banerjee
6 yrs · Open-source contributor to LangChain · Fine-tunes Llama for Fortune 500
Production AI
we've actually delivered.
Real-time Fraud AI · Neobank
Sub-200ms transaction scoring for 8M+ daily events. Built in 9 weeks.
Predictive AI for Elderly Care
In-home AI predicting fall risk 72 hours in advance across 240 facilities.
AI Personalization for Retail
GenAI product feed + recommendation engine for 22M monthly shoppers.
Recognized by the industry.
Trusted by enterprises.
Real voices, real outcomes.
WebSenor delivered our AI co-pilot in 11 weeks — production-ready, observable, with a fine-tuned model that beat GPT-4 on our domain. The engineering bar was higher than two prior vendors.
They didn't just write code — they shaped our AI strategy. Their team operated like in-house staff and the ML Ops they set up scaled with us from 10k to 8M daily inferences.
We evaluated six AI vendors. WebSenor was the only one that talked about evals, hallucination control, and unit economics in the first call. The work has paid back 6x.
From HIPAA audit prep to model deployment, they handled the things vendors usually punt back to us. Truly enterprise-grade — they think like our internal engineering team.
They delivered a fraud AI in 9 weeks that beat the model our 30-person ML team built in a year. The difference was their evals discipline and production focus.
WebSenor became the AI brain of our retail business. They built the personalization platform that now powers every decision across 22M shoppers.
What we're writing about.
Practical engineering essays from our AI team — published weekly. No fluff, no AI hype.
The 7 RAG failures we see in every production audit (and how to fix them)
Multi-agent vs. single-agent: when to use which (a decision framework)
We cut a client's LLM bill 78% in one sprint. Here's the playbook.
Everything enterprises
ask us before signing on.
Let.s discuss
your 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.
US: +1-3322638701
What you get in the consultation
Tell us about your project
12+ years of delivering production AI
0
Enterprise projects delivered0
AI / ML engineers in-house0
Client outcomes delivered0
Countries served globallyThe 7 RAG failures we see in every production audit
Multi-agent vs single-agent: when to use which
Cut your LLM bill 78% in one sprint. Playbook.
How to build an LLM eval harness that catches regressions
Prompt injection: the security gap nobody audits
Discuss your project.
Get a quote in 48 hours.
30 minutes with a senior AI engineer · honest feasibility verdict · technical approach · realistic cost. No sales pitch, no AI buzzwords.