70%lower content production costs
- 5×faster content production
- 20+blogs a month, up from 4
inputRising content costs, slow production cycles and a heavy reliance on freelancers and agencies made a steady publishing schedule hard to keep.
[00] Services
AI and data services, from first pilot to production
Pick the service that fits your problem, or combine several. Every engagement starts with a free consultation and, where it makes sense, a pilot on your own data.
Services index
Fifteen services. Five toolsets an AI system can call on your behalf.
Read it top to bottom: software reads your data, sees, predicts, reasons and writes, then acts in your systems. Eleven AI services and four data services. Search the index or filter by toolset.
- ai
- 11
- data
- 4
- toolsets
- 5
filter
toolset.01 · read
Data & BI
03 tools- Business IntelligenceData warehouses, pipelines and dashboards that bring your systems together, so leadership and every team work from one agreed set of numbers.case study 85% less manual work
- Data Analytics & InsightsData strategy, analysis and predictive models that explain why your numbers move and what is likely to happen next, tested before you rely on them.case study 35% higher conversion rate
- Web Scraping & Data CollectionPublic web data such as prices, listings and market information, collected within site rules and rate limits and delivered clean, structured and ready to use.
toolset.02 · see
Computer vision
02 tools- Computer VisionCustom computer vision models that detect, count, read and inspect what your cameras see, trained on your own images and run in the cloud or on edge devices.
- Data Annotation & LabellingImage, video, text and audio labelled to clear guidelines and checked in review, so your models learn from consistent, accurate training data.
toolset.03 · predict
Machine learning
03 tools- Machine Learning DevelopmentCustom machine learning models for forecasting, risk, recommendations and inspection, trained on your own data and evaluated before they reach production.case study 35% higher conversion rate
- AI & ML DevelopmentEnd-to-end AI and machine learning development, from a feasibility check and proof of concept to models running inside your ERP, CRM or apps.case study 40% lower operational costs
- Recommendation EnginesPersonalised product and content recommendations built on your own behaviour data, with business rules your team controls and A/B tests that show what works.case study 35% higher conversion rate
toolset.04 · reason & write
Generative AI & LLMs
04 tools- Generative AI DevelopmentGenerative AI applications that draft, summarise, search and answer from your own content, built on the model that fits and tested before rollout.case study 70% lower content production costs
- LLM DevelopmentWe select, adapt and deploy large language models for your tasks, from fine-tuned open-source models on your servers to integrations with hosted APIs.case study 70% lower content production costs
- Model Training & Fine-TuningWe prepare your data and fine-tune or train AI models so they follow your terminology, formats and rules, with evaluation before and after every change.
- ChatGPT & OpenAI IntegrationOpenAI models built into your apps, SaaS products and internal tools, with retrieval over your data, tested prompts and running costs you can plan for.
toolset.05 · act
Agents & chatbots
03 tools- AI Agent DevelopmentAI agents that read, decide and act across your systems, completing multi-step tasks with human approval where it matters and a log of every step.
- AI Chatbot DevelopmentCustomer-facing AI chatbots on your website, WhatsApp and app that answer from your content, complete simple tasks and hand difficult conversations to your team.case study 3× increase in customer engagement
- Robotic Process AutomationSoftware bots that take over rule-based data entry, invoice processing, onboarding and reporting, built on the RPA platform you already license or the one that fits.case study 40% lower operational costs
0 results
Nothing in the index matches “”. Describe the problem instead and we will tell you honestly whether AI fits.
Book a callstart from the problem
Not sure what it is called? Start from what you need done.
The jobs clients bring us most often, in their words, and the service each one starts with.
Answer customer questions on our website or WhatsApp, day and night
Start with: AI Chatbot Development
Often with: LLM Development
Find answers across our policies, contracts and manuals
Start with: LLM Development
Often with: Generative AI Development
Stop retyping invoices, forms and orders into our systems
Start with: Robotic Process Automation
Often with: Computer VisionAI Agent Development
Hand a multi-step back-office task to software, with approval steps
Start with: AI Agent Development
Often with: Robotic Process Automation
Forecast demand, stock, churn or late payments
Start with: Machine Learning Development
Often with: Data Analytics & Insights
Inspect products, count items or read labels from photos and cameras
Start with: Computer Vision
Often with: Data Annotation & Labelling
See sales, costs and performance in one dashboard
Start with: Business Intelligence
Often with: Data Analytics & Insights
Suggest the right product or content to each customer
Start with: Recommendation Engines
Often with: Machine Learning Development
Track competitor prices, listings or reviews
Start with: Web Scraping & Data Collection
Often with: Data Analytics & Insights
Add drafting, summarising or search to our own product
Start with: ChatGPT & OpenAI Integration
Often with: Generative AI Development
Make a model follow our format, tone or domain every time
Start with: Model Training & Fine-Tuning
Often with: Data Annotation & Labelling
We have data and a problem, but no clear use case yet
Start with: AI & ML Development
Often with: Data Analytics & Insights
Something else? Describe it on a free call and we will tell you honestly whether AI fits, or check first with the AI readiness checklist.
results
What these services delivered. Measured on client projects.
35%higher conversion rate
- $68 → $92average order value
- 22% → 41%customer retention
- 71% → 49%cart abandonment
inputHigh traffic but low conversion: generic recommendations, poor product discovery, high cart abandonment and few repeat purchases.
AI Recommendation Engine Increased E-commerce Conversion Rate by 35%
3×increase in customer engagement
- 50%lower support costs
- 70%of repetitive queries automated
- Secondsto respond, down from 12–24 hours
inputSupport replies took 12 to 24 hours, repetitive questions tied up agents, support costs were high and customer engagement was low.
AI Chatbot Increased Customer Engagement by 3× and Reduced Support Costs by 50%
How we work
One process for every service. Proof before the full build.
Whichever service you start with, most projects run in these five steps. Each step ends with something you can check, and you only commit to the full build once the pilot has shown results.
Every project starts with a free, no-obligation consultation.
what you can count on
- before you share any dataWe sign an NDA
- after discoveryA fixed quote and a plan with milestones
- after the pilotGo or no-go on measured results, your call
- on completionCode, prompts, models and documentation handed over to you
- after launchAccuracy, cost and usage monitored under a support plan
run.logappsinai / project
$ appsinai run --pilot-first
Step 1: Discover
We look at how the work is done today, check the data you have and agree how success will be measured.
you get use-case shortlist · data review · success measure · fixed quote
we need a walkthrough of the process · sample data · one decision-maker
Step 2: Prove it
A pilot runs on your own data and is measured against the baseline agreed in discovery, before you commit to the full build.
you get working pilot · evaluation results · go / no-go
we need access to real data · feedback from the people who do the work
- gatego / no-go on the results before “Build & integrate”
Step 3: Build & integrate
We build the production system, connect it to your CRM, ERP, helpdesk or apps, and add guardrails and human review where a mistake would be costly.
you get production system · integrations · tested release
we need test access to your systems · sign-off at each milestone
Step 4: Launch & train
Your team learns the system on real cases, then we roll it out in stages and stay close through the first weeks.
you get team training · documentation · staged rollout
we need a first group of users · time for training
Step 5: Monitor & improve
We track accuracy, cost and usage, review the cases the system got wrong, and retrain or update it as your data changes.
you get monitoring · retraining · support plan
we need feedback on wrong answers · ideas for the next use case
↺ results feed the next improvement cycle$
before you decide
Compare, estimate, then decide. Three comparisons and three free tools.
- RAG vs fine-tuningTwo ways to make an LLM work with your data, side by side.
- AI agents vs RPAWhich suits each process, and where they work together.
- Custom AI vs off-the-shelf toolsBuild or buy, compared on cost, speed, fit and data control.
- AI project cost estimatorA budget range for a chatbot, model, agent or platform.
- AI automation ROI calculatorHours and money AI could save on a repetitive task.
- AI readiness checklistTwelve questions on whether you are ready, and what to fix first.
FAQ
Questions about our services
Straight answers to what buyers ask us most. Can't find what you need?
Email sales@appsin.ai or call +91-9025555584.
Ask us directlyWhich service do I need?
Start from the problem, not the technology. Find the closest match in the "start from the problem" list on this page, or describe it to us on a free consultation and we will recommend the service, or the mix of services, that fits. If AI is not the right answer, we will say so.
Book a free consultationCan one project combine several services?
Yes, most do. A customer support chatbot usually combines an LLM, retrieval from your documents and integration with your helpdesk. An invoice automation combines document reading, an agent or RPA bot and your ERP. You get one team, one plan and one quote, not a separate contract per service.
What is the difference between the AI services and the data services?
The 11 AI services build systems that read, predict, write and act. The 4 data services collect, label, analyse and report on data. Data work is often the first step: a model is only as good as the data behind it, and a dashboard often shows where AI will pay off.
Do you start with a pilot?
Usually. After a short discovery we recommend proving the approach on your real data with a focused pilot, often a few weeks long, with the success measure agreed up front. You then decide, with results in hand, whether to roll it out.
How are projects priced?
Most projects are quoted at a one-time cost for an agreed scope, and larger programmes can run with a dedicated team billed monthly. We give you a range on the first call and a fixed quote after discovery. Model usage and hosting are paid to the provider from your own account, and we estimate them before you commit.
Pricing and engagement modelsWill it work with the systems we already use?
Yes. We connect AI to your CRM, ERP, helpdesk, databases, website and messaging channels such as WhatsApp through their APIs. Where a system has no API, robotic process automation can work through its screens.
Models and tools we useWhat happens after launch?
We monitor accuracy, usage and cost, review the cases the system got wrong, update prompts and retrain models as your data changes, and move to newer models when they are better value. Support and improvements are covered by an agreed support plan.
Free consultation
Let's talk about your project
Tell us about your business and the work you want AI to take on. Whether it's an assistant, an agent, a model or a dashboard, we'll help you find the right place to start.
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