What is a typical S.T.R.In.G engagement size?

Engagements range from a two-week data audit to a six-month product build, with retainers available for ongoing AI, automation, data and product work.

Who owns the IP built during a project?

Client projects assign code, models and artifacts to the client on delivery. S.T.R.In.G retains its internal tools and reusable accelerators.

How does S.T.R.In.G handle data security?

Projects use SOC2-track practices, encryption in transit and at rest, least-privilege access, DPAs and a named security owner for every engagement.

Index001 / Home

Est.Since 2019

HQMumbai · Global delivery

Now booking Q2 — 2026

We string intelligence
into every layer of
your business.

S.T.R.In.G — Science, Technology, Research & Innovation Group. We design, build and deploy custom software, data pipelines, AI models and automation systems for teams who need more than a dashboard. Scalable, secure, and ruthlessly practical.

Start a project View work

3 engagements live in production Automation · AI · Data Science · OR · UI/UX Trusted by teams in 12 countries

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§ Services · 05 practices

What we build, end to end.

Five disciplines from the old site, sharpened into one modern delivery model: AI and machine learning, automation, data analytics, product engineering, operations research and UI/UX design.

01 / 05 AI · ML · LLM

AI & Machine Learning.

Intelligent systems that analyze data in real-time, automate decisions, and handle the customer conversations you shouldn't have to. LLM copilots, computer vision, and predictive models that ship.

See capability Case studies

a.LLM chatbots & retrieval-augmented agents

b.Predictive models & forecasting

c.Computer vision & document OCR

d.MLOps · model monitoring · drift

02 / 05 Automation

Workflow Automation.

Replace repetitive, manual tasks with drag-and-drop tools that streamline operations, save time, and reduce errors. Your ops team, but quieter.

See capability Case studies

a.CRM & ERP automation

b.RPA & document workflows

c.API orchestration & integrations

d.Event-driven pipelines

03 / 05 Data Science · Analytics

Data & Analytics.

Convert raw data into powerful insight. Predictive analytics, custom dashboards, and business intelligence systems that survive contact with actual users.

See capability Case studies

a.Warehouses & pipelines (dbt, Airflow)

b.BI & executive dashboards

c.Experimentation & attribution

d.Data governance & quality

04 / 05 Product · Engineering

Web, App & Product.

Digital solutions that are robust, scalable, and visually compelling – tailored for startups and enterprises alike. Opinionated stacks, weekly ships.

See capability Case studies

a.React / Next.js web products

b.iOS, Android & cross-platform mobile

c.AR / immersive experiences

d.Cloud infra & DevOps

05 / 05 Operations Research · Design

OR & Experience Design.

Optimize your processes, improve resource allocation, and gain a strategic edge — then wrap it all in a UX that turns visitors into customers.

See capability Case studies

a.Supply chain & inventory optimization

b.Simulation & heuristic modelling

c.UX research & product design

d.Design systems & branding

§ Our Solutions

Products we ship under our own name.

When a problem is big enough, we turn it into a product. Three live platforms — and a lineup of internal tools — that you can adopt on day one.

Flagship · Live

Digital
Muneem.

A full-stack accounting & book-keeping platform for SMBs across India — automated entries, GST, and AI-tagged transactions.

Explore Digital Muneem →

EdTech · Live

Learning
Engine

Adaptive curricula, proctoring, analytics and LMS for schools & bootcamps.

Explore Learning Engine →

Internal tool

Automated Document Reader

OCR + LLM →

Available for license

Forecast
Kit

Commodity & demand forecasting models, pre-trained on your vertical.

Forecasting solution →

Enterprise · Blockchain

Remit.

Cross-border remittance on-chain — lower fees, faster settlement, full KYC.

Request a demo →

Available for license

Stock
Sense

Real-time inventory across warehouses, stores, and channels.

Inventory solution →

§ Use Cases · Real Results

Proof over promise.

Every case →

ML · Forecasting −18% hedging cost

Commodity Forecasting / Patanjali

Forecasting that survives volatile markets.

We rebuilt Patanjali's commodity forecasting as an ensemble of ARIMA and gradient-boosted models — delivered 3 weeks early with a model-monitoring layer on top.

4wkMAPE window

3×Faster cycle

12SKUs live

Blockchain · Remit −60% fees

Carbon Credit Marketplace / Marex UK

A blockchain remittance platform, in production.

A secure, transparent, user-friendly marketplace on blockchain — co-built with Marex Finance's digital execution team and now serving their customer base.

100k+Tx settled

4Jurisdictions

A-Audit grade

Heuristic · Ops +22% throughput

Inventory Management / Retail chain

Stock control that actually matches the floor.

Real-time stock across warehouses, stores, and channels — barcode-first with a heuristic reorder engine that cut dead stock almost in half.

−44%Dead stock

9Warehouses

14dTo live

AI · LLM −71% handle time

Intelligent LLM Chatbot / Statista Co.

A conversational AI that does the job.

Not a prompt-wrapper. A retrieval-augmented agent that handles tier-1 support, research intake, and hand-off — with full audit trails for compliance.

84%Contain rate

3Languages

4.7/5CSAT

OR · Supply Chain −31% logistics cost

Biomass Supply Chain / Energy co.

Optimized sourcing across 200+ nodes.

A mixed-integer program and live simulator for biomass procurement — routing, storage, and supplier mix, all tuned against a cost-&-resilience objective.

200+Nodes

6moPayback

99.9%Uptime

AR · Mobile +35% conversion

AR Visualizer / Nirmala Interiors

Visualize the design before it's built.

An AR mobile app that lets interior clients see rendered rooms in their own space. Smooth, photoreal, and realistic enough to close the sale on first visit.

iOS+APlatforms

60fpsOn-device

8k+Sessions

01 / 06

Drag or scroll

§ Process · 05 phases

How the work actually moves.

No mystery. Same five phases, every engagement — discovery, design, build, deploy, scale. We tell you what week you're in, what we're shipping, and what blocked us.

Phase 01 · 1 wk

Discover.

Workshop your goals, constraints and data. Leave with a signed brief and a north-star metric.

Stakeholder interviews
Data & system audit
Success metrics

Phase 02 · 2 wks

Design.

Architect the system end-to-end — flows, data model, model cards, UX — before we write production code.

Tech architecture
UI & flow prototypes
Model design docs

Phase 03 · 4–12 wks

Build.

Weekly ship cadence. Loom-first updates, PR-level visibility, and a working preview from week one.

Weekly production ships
Staging + test coverage
Human-in-the-loop QA

Phase 04 · 1 wk

Deploy.

Production cutover with full runbooks, monitoring, and a rollback plan that actually works.

Runbooks & alerts
Team training
Live rollback drill

Phase 05 · ongoing

Scale.

Retainer support, model re-training, and a roadmap that keeps compounding long after launch day.

Quarterly reviews
Model drift monitoring
Feature roadmap

§ Engineering Stack

Opinionated, but boring.

We pick stacks that ship and stay shipped. No framework-du-jour, no premature magic. The tools below are what we pull out of the box — when the problem demands something else, we tell you up front.

AI / ML

PyTorchHugging FaceLangChainOpenAIAnthropicscikit-learnXGBoostONNXWeights & Biases

Data

PythondbtAirflowSnowflakeDatabricksPostgresDuckDBKafkaMetabaseLooker

Product

TypeScriptNext.jsReact NativeSwiftKotlinTailwindFigmaThree.js

Cloud

AWSGCPAzureKubernetesDockerTerraformVercelCloudflare

§ Why S.T.R.In.G

Reasons teams stay.

We don't win on price or on pitch decks. We win on clarity — the meeting after the meeting is always useful, and every invoice is backed by something live in production.

Cutting-edge, not cutting-corners.

AI, automation and digital — combined to deliver real, measurable results, not demos.

Cost-effective for any stage.

Designed to fit both the budget of a lean startup and the scale of a multinational org.

Global from day one.

Proudly serving clients across India, USA, UK, Germany, Netherlands, and beyond.

Agile turnaround.

Weekly ship cadence means quick deployment of features and fixes — not quarterly surprises.

Transparent by default.

Clear communication, frequent updates, and full control — you see every PR and every model card.

Security & compliance.

SOC2-track practices, RBAC, encryption at-rest-and-in-transit, and audit trails on day one.

§ Trusted by forward-thinking clients

Voices from the field.

String Lab delivered our Prediction Model and Supply Chain Optimization much faster than expected. The quality was outstanding and far above our expectations.

Rohit BhoreGeneral Manager · Patanjali

String Lab worked on our logistics project and delivered excellent results. The system is reliable, easy to use, and has made a real difference in our operations.

Jeff RenoldsNA Head, Industrial · AP Logistics

Working on our automation-based CRM and ERP was a great experience. They understood our needs quickly and built a system that works smoothly.

Arisha AbaraHead R&D · Statista Co

String Lab's deep domain knowledge and strong technical skills shaped our carbon-credit marketplace into a secure, transparent, user-friendly platform on blockchain.

Olivia JonesHead of Digital · Marex Finance UK

From initial consultation to final delivery, String Lab is exceptional. Their professionalism and transparency are noteworthy. Highly recommended.

Harsh DeepChairman & Founder · Studio Dynamics

They combined creativity with strong technical skills, delivering exactly what we needed on time. Truly impressed with their AR work.

J.S. MishraMD & CEO · Nirmala Interiors

§ Frequently Asked

Questions, answered plainly.

Don't see yours? Send a note at info@stringlab.org — we reply within a business day.

How soon can we get started?+

Most discovery workshops kick off within a week. A signed brief and production-shape delivery plan usually lands by end of week two.

What's a typical engagement size?+

Anywhere from a 2-week data audit to a 6-month product build. Retainers start at a fractional data-science seat; full product pods scale from there.

Do you work with early-stage startups?+

Yes — we run a lightweight engagement track for pre-seed and seed teams, with equity-friendly pricing and weekly strategic check-ins.

Who owns the IP we build together?+

You do, always. Standard contracts assign all code, models, and artifacts to the client on delivery. Our internal tooling stays ours.

How do you handle data security & compliance?+

We run SOC2-track practices — encryption at rest and in transit, least-privilege access, signed DPAs, and a named security owner on every engagement.

Can you take over an existing codebase?+

Yes. We do takeover engagements regularly — first week is a code & infra audit, then a remediation plan with a fixed-price first milestone.

We string intelligence
into every layer of
your business.