AI engineering that ships with clearer scope, calmer delivery, and product-grade execution
Binary Analytics helps startups and growing teams design, build, and launch AI features, product platforms, and delivery-ready software across web, mobile, and backend systems.
What you can verify today
Clear signals, not placeholder proof
The first pass focuses on verified identity details, practical engagement models, and service positioning that does not depend on inflated metrics.
Verified business identity
Binary Analytics operates under the trade name BINARY ANALYTICS with GSTIN 09FMLPS5780K1Z0 and a direct public contact at founder@binaryanalytics.in.
AI plus product delivery
Projects can span AI workflows, product software, APIs, and client-facing applications without splitting execution across multiple vendors.
Clear engagement paths
Teams can start with a scoped discovery sprint, move into a focused delivery team, or hand over an end-to-end build for launch and iteration.
Practical diligence support
Core business details, invoicing identity, and working assumptions are surfaced early so conversations do not depend on marketing claims alone.
Start where your roadmap is today.
Some teams need a short discovery phase, some need dedicated execution capacity, and some need an accountable partner for the full build.
Discovery Sprint
Use a short initial phase to clarify scope, risks, architecture, and delivery milestones.
Best when the roadmap is still being shaped.
Dedicated Delivery Team
Embed a focused engineering pod into an active roadmap with shared priorities and regular checkpoints.
Best when you already know what needs to be shipped.
End-to-End Build
Hand over the build from solution design through production launch and early iteration support.
Best when you want one accountable delivery partner.
Engineering excellence, delivered
The service mix covers AI workflows, product engineering, and delivery support without pretending every engagement fits the same metric.
AI and Machine Learning
Design and build forecasting, classification, search, and workflow intelligence systems that fit real operating constraints.
Computer Vision
Build camera, image, OCR, and inspection workflows for teams that need dependable review, triage, or detection systems.
NLP and LLM Workflows
Implement document understanding, retrieval, summarization, and support automation with clear handoff points and human review where needed.
iOS Development
Ship native iOS applications that connect product strategy, user experience, APIs, and platform-specific implementation.
Web Development
Build high-performance product websites, internal tools, and customer-facing applications with maintainable front-end and backend architecture.
Dedicated Engineering Support
Add focused engineering capacity for a defined initiative without losing visibility into delivery, ownership, and technical direction.
Clear delivery beats agency-style hype.
The goal is not to sound bigger than the work. The goal is to scope cleanly, ship responsibly, and give product teams a reliable engineering partner across AI, APIs, and product surfaces.
What engagements include
Written scope before deep implementation
Direct contact through founder@binaryanalytics.in
Working software and review checkpoints throughout delivery
For verified business details and public contact information, see the About page or write directly to founder@binaryanalytics.in.
View business detailsScoped delivery from the start
Written scopeWork begins with written goals, constraints, and next steps so delivery stays anchored to the problem being solved.
Senior technical ownership
Production mindedArchitecture and implementation decisions are made with production readiness, maintainability, and handoff quality in mind.
Communication built into delivery
Steady visibilityYou get regular updates, review checkpoints, and visible progress instead of waiting for the end of a long black-box sprint.
Flexible team shape
Right-sized teamEngagements can stay lean for a targeted build or expand as product needs, complexity, and delivery volume grow.
AI and product under one roof
One delivery partnerModel work, product interfaces, APIs, and deployment planning are treated as one delivery system instead of disconnected workstreams.
Practical delivery examples, shared safely
These examples stay in NDA-safe territory: problem shape, delivery scope, and operational outcomes without publishing client names or unsupported metrics.
Clinical imaging workflow support
A healthcare product team needed a computer-vision workflow that could support specialist review without forcing clinicians into a brand-new process.
Binary Analytics shaped the ingestion pipeline, annotation flow, model-serving approach, and review interface around the team's operational constraints.
The result was a clearer deployment path, a more usable review workflow, and a delivery foundation the internal team could extend.
Document processing and review pipeline
A finance-oriented operations team needed to reduce manual document handling while keeping the edge cases visible to human reviewers.
Binary Analytics designed an extraction workflow with structured review steps, system integration points, and clear exception handling for low-confidence outputs.
The engagement produced a more structured intake process and a safer path to automation without hiding uncertainty from the operators.
Marketplace and operations platform
A growing commerce business needed a product surface that could support customer-facing growth while still improving internal operations and release discipline.
Binary Analytics worked across front-end architecture, backend services, product flows, and deployment planning to align the system with real launch needs.
The result was a more coherent product foundation with clearer ownership boundaries and a better base for ongoing iteration.
From idea to working software
The process is designed to lower ambiguity early, keep delivery visible, and make handoff quality part of the build instead of an afterthought.
Discovery
Clarify goals, users, constraints, and delivery risks before committing to implementation depth or team shape.
Solution Design
Define architecture, interfaces, implementation slices, and review checkpoints so the build can move with less ambiguity.
Build
Ship in small visible increments with code review, demos, and working software that can be assessed during delivery.
Validate
Test the delivered system against the intended workflows, edge cases, and handoff expectations before launch.
Launch and Iterate
Support rollout, cleanup, and follow-on improvements once the first version is in active use.
Built with the modern stack
Technology choices stay visible and readable instead of leaning on symbol-only badges or decorative emoji.
AI and ML
Web
Mobile
Cloud and DevOps
Public identity, kept concrete
This section intentionally focuses on details that have been explicitly verified instead of stacking on marketing-heavy compliance language.
Trade name
BINARY ANALYTICS
Public trade name used for client communication and invoicing.
GSTIN
09FMLPS5780K1Z0
Verified registration surfaced for diligence and invoicing.
GST liability date
14/01/2021
Current registered liability date under the trade name above.
Primary contact
founder@binaryanalytics.in
Direct first-contact inbox for new conversations.
For proposals, scope discussions, or diligence questions, start at founder@binaryanalytics.in. Additional public details will be added only after they are finalized for publication.
Ready to scope the next AI or product build?
Share the project context, the product stage, and where you need help. If forms are not your preference, you can always write directly to founder@binaryanalytics.in.
Discovery Sprint
Use a short initial phase to clarify scope, risks, architecture, and delivery milestones.
Best when the roadmap is still being shaped.
Dedicated Delivery Team
Embed a focused engineering pod into an active roadmap with shared priorities and regular checkpoints.
Best when you already know what needs to be shipped.
End-to-End Build
Hand over the build from solution design through production launch and early iteration support.
Best when you want one accountable delivery partner.