Proprietary AI Systems That DeliverMeasurable ROINot Experiments
We engineer production-grade AI infrastructure for enterprises handling sensitive
data at scale. Research-validated. Security-hardened. Commercially deployed.
Outperforming industry baselines by 12% in domain-specific classification
AnvIQ Intelligence Platform
Live
Custom LLM — Domain Classifier
▲ 2.1%97.4%
Accuracy · Fine-tuned on proprietary corpus
ML Pipeline — Predictive Engine
▲ 0.03F1 0.94
F1 Score · Bespoke classification model
Data Science — Analytics Layer
▲ 1.2 TB10 TB+
Processed · Enterprise-scale datasets
About Us
Intelligence Engineered for Business
AnvIQ Labs is a
research-driven AI technology company
focused on building intelligent software products that help businesses make smarter
decisions and deliver better customer experiences.
AnvIQ Labs is the product company of Aeka Advisors India LLP, founded by Abhishek
Goenka and Amithraj AN.
We bridge the gap between pure data science research and enterprise-grade software
engineering, transforming theoretical models into robust, scalable platforms.
01
Research-First Methodology
Experimental AI and statistical validation before every product decision.
02
Proprietary Intelligence Systems
Custom IP and algorithms — never generic, off-the-shelf implementations.
03
End-to-End Product Engineering
We own the full lifecycle — from research and model architecture to
deployment.
04
Data Sovereignty & Security
Secure AI pipelines with enterprise-grade data integrity throughout.
"To empower organizations by transforming their unique data into intuitive,
high-impact AI products through rigorous science and cutting-edge machine
learning."
AnvIQ Labs — Mission Statement
55+
AI Models Deployed
10 TB+
Data Processed
97.4%
Model Accuracy
<50ms
Avg Latency
Core Capabilities
Precision-Built AI Solutions
We engineer specialized AI products built around your operational reality — completely
avoiding generic templates.
Custom LLM Solutions
Fine-tuning and optimizing Large Language Models on your private datasets,
delivering domain-specific AI assistants with high-context, hallucination-free
outputs tailored to your industry.
RAG SystemsFine-tuningKnowledge Intelligence
Machine Learning Systems
Bespoke ML architectures designed, trained, and deployed specifically for your
unique data constraints and business objectives — avoiding generic implementations
entirely.
Deep statistical analysis and exploratory data research to uncover the "why" behind
numbers. We provide the mathematical foundation for every intelligent product we
engineer.
Statistical ResearchEDAValidation
Predictive Intelligence
Advanced forecasting systems, recommendation engines, and decision intelligence
platforms that help businesses anticipate outcomes and act with confidence in
dynamic environments.
ForecastingRecommendationsDecision AI
Scalable Digital Platforms
End-to-end technology platforms and proprietary SaaS products that integrate into
existing workflows, turning complex models into intuitive, enterprise-grade
intelligent tools.
SaaS ProductsAPI IntegrationEnterprise Tools
AI Research & Innovation
Cutting-edge experimental AI systems, methodology innovation, and proprietary
intelligence research that continuously advances our technical foundations and
product capabilities.
Experimental AIR&DNovel Architectures
Industries
Built for Real-World Impact
Our intelligent products are architected for sectors where data-driven decisions carry
the highest strategic value.
Real Estate
Automated Valuation Models that reduced appraisal variance by 18% for a national
property tech firm — custom ensemble architecture trained on 8.2 TB of real estate
transaction data, serving a ₹90,000 Cr+ portfolio.
AVMHedonic PricingValuation AI
Finance
Real-time fraud detection reducing false-positive rates from 34% to 8.7% for a
global FinTech leader processing 2M+ daily transactions — with 99.2% recall
maintained at production scale.
Fraud DetectionAnomaly DetectionRisk AI
Human Resources
Predictive retention platform analyzing 120+ employee signals to reduce attrition by
19% across targeted cohorts, recovering $47M annually in a 50,000+ employee
multinational organization.
Attrition PredictionSurvival AnalysisPeople AI
Retail
Multi-horizon demand forecasting integrating POS data, weather, and competitor
signals — cutting stockout rates from 31% to 11% across 400+ locations, saving $8.4M
in annual inventory costs.
Demand ForecastingTime-SeriesInventory AI
Consumer Business
Transformer-based recommendation engine leveraging real-time behavioral intent
extraction — boosting conversions by 28% and repeat purchase rates by 35% for a
high-growth D2C brand.
The AnvIQ Research Lab Where Production Reliability Meets Academic Rigor
We do not ship models without validation. Every AI system we deploy undergoes
structured experimentation, statistical hypothesis testing, and performance
benchmarking against established baselines. Our research methodology prioritizes
reproducibility, robustness, and real-world generalization over synthetic
benchmarks.
Experimental AI Systems
Structured experiments to test novel architectures and algorithms — verified,
reproducible science over assumptions. Every model undergoes rigorous A/B
testing against established baselines.
Proprietary Intelligence
Custom algorithms, proprietary datasets, and optimized model weights that
become lasting strategic assets. We build defensible AI moats, not
commoditized implementations.
Scalable Architectures
Engineered for scale from day one — designed to handle growing data volumes
and evolving model requirements. Our systems maintain <50ms latency at
enterprise scale.
01
Discovery & Research
Deep exploratory data analysis, statistical research, and problem formulation to
establish a rigorous scientific baseline before any engineering begins.
02
Experimental Modeling
Iterative hypothesis testing, model experimentation, and validation cycles
against your proprietary datasets with full reproducibility.
03
Architecture & Engineering
Custom ML architecture design, LLM optimization, and scalable system engineering
aligned to production-grade requirements.
04
Product Commercialization
Deploying scalable, enterprise-grade products and intelligence platforms ready
for real-world business impact and long-term ROI.
The AnvIQ Framework: Achieving 99.9% Production Reliability in RAG Systems
Retrieval-Augmented Generation (RAG) systems fail in production due to semantic
drift, retrieval precision degradation, and hallucination. Our framework addresses
these through custom embedding layers, active learning pipelines, and constrained
decoding with citation verification. Deployed across 10+ enterprise clients
maintaining 99.9% uptime with <2% hallucination rates.
What is Proprietary Intelligence?
Proprietary Intelligence refers to AI systems whose competitive advantage stems
from custom algorithmic architecture, domain-tuned model weights, and private
training data—not generic API wrappers.
Custom Neural Architectures: Bespoke
model topologies designed for specific data constraints.
Optimized Loss Functions:
Task-specific objectives engineered to prioritize business metrics.
Proprietary Training Data: Cleaned,
labeled datasets representing your operational reality.
Inference Optimization: Model
compression achieving <50ms latency without accuracy loss.
55+
AI Models Deployed
10TB+
Data Processed
97.4%
Model Accuracy
<50ms
Avg Latency
Security & Compliance
Enterprise-Grade Security Protocols
We prioritize data sovereignty and security throughout the AI development lifecycle
SOC 2 Compliance
Type II certification in progress
Data Encryption
End-to-end encryption at rest and in transit
GDPR Ready
Full data protection compliance framework
Data Isolation
Dedicated infrastructure for enterprise clients
Why AnvIQ Labs
Engineered for Enterprise Performance
What makes our approach fundamentally different from conventional AI development.
Research-Driven Development
Every product starts with deep scientific research. We validate hypotheses with
statistical rigor before writing a single line of production code.
Scalable System Architecture
Built to scale alongside your data — our platforms handle increasing complexity
without performance degradation or architectural re-engineering.
Secure Data Sovereignty
We prioritize the security and integrity of your proprietary data throughout the
development lifecycle with enterprise-grade protocols.
High-Performance Engineering
Precision-engineered systems combining pure data science with modern AI, delivering
results that are both innovative and mathematically sound.
Product-Focused Innovation
We are builders, not consultants. Every engagement produces a scalable,
commercializable product — not just a report or a proof of concept.
Domain-Optimized Intelligence
Context-aware AI grounded in your specific industry knowledge — not generic outputs
from public models, but intelligence tuned to your domain.
Leadership & Talent
Seasoned in Business. Proven in Enterprise AI.
Decades of business advisory experience, Big 4 technology leadership and ISI-trained
data science — AI built around real business problems.
Abhishek Goenka
Founder
Decades of leadership experience as a Partner at leading firms with a
demonstrated history of working in the sphere of taxation. He is skilled in
financial structuring, international tax, corporate finance and M&A, and
has the unique advantage of having held operating roles in family businesses.
His proactive approach has made him successful at building, overseeing and
managing practices and scaling them up to greater heights. He has been able to
build cohesive, result-oriented groups by laying out clear strategies and
objective metrics.
Amithraj AN
Founder
More than 20 years of professional experience in structuring, acquisitions,
diligence, funding, exit planning and jurisdictional analysis. He has deep
experience in real estate, start-ups, funds, pharma, staffing and fintech, and
also works with top-tier listed companies.
He speaks regularly across various forums on tax, regulatory and valuation
aspects and has addressed more than 100 seminars.
Anupam Dutta
Founder
Over 20 years of experience in enterprise technology consulting, working with
leading organizations across real estate, retail, pharmaceuticals, healthcare,
manufacturing, and financial services, helping them unlock business value
through AI-driven innovation and data-led decision-making.
Over the course of his career, Anupam has successfully led large-scale
transformation initiatives encompassing enterprise data platforms, advanced
analytics, AI adoption, and modern cloud-based architectures. His expertise
lies in enabling organizations to translate complex business challenges into
practical, technology-enabled solutions that improve operational efficiency,
enhance customer experiences, and accelerate growth.
A respected thought leader in the AI and analytics ecosystem, Anupam is a
frequent speaker at industry forums and leadership events. He has also served
as visiting faculty at premier academic institutions, including IITs and IIMs.
Anupam holds a B.Tech in Computer Science from Kalyani University and has
completed the Postgraduate Leadership Programme at INSEAD, Singapore.
Rahul Ganguly
CEO
Technology leader with 18+ years of experience, including Big 4 leadership at
PwC and Deloitte, driving AI-led transformation across real estate,
manufacturing, and infrastructure. Trusted advisor to India’s biggest
conglomerates and global markets.
Rahul has spent his career leading enterprise-scale AI transformation. He
builds the data and cloud foundations AI needs, drives its adoption across
organizations, and turns complex business challenges into scalable AI
solutions that have led to large-scale revenue growth, improved operational
efficiency and enhanced customer experiences.
His aptitude for entrepreneurship has enabled him to create innovative,
sector-defining solutions with the biggest conglomerates in India. Rahul holds
an MBA from Liverpool Business School, UK, and works at the intersection of
business and technology.
Sumit Kr Saha
CTO
Experienced data scientist from an ISI background. Builds and ships generative
BI products — turning raw data into chat-style insights — and delivers AI that
works at scale.
