Most businesses experimenting with AI get demos, not results. Digital is Simple delivers AI development services that actually ship. We specialise in custom LLMs, agentic AI, and intelligent automation that solve real operational problems and generate measurable ROI.
AI Model Router implementationTrusted by startups and enterprisesLLM, Gen AI, and Agentic AI specialistsSecurity & Compliance First
$5M+
Business Value Delivered
100+
AI Solutions Delivered
10+
Years of Deep Expertise
70+
Certified AI Engineers
Digital is Simple has been building AI systems for over 10 years, with a 70+ person team of certified AI engineers, data scientists, and MLOps specialists behind every custom solution we deliver. Our AI system design work focuses on cutting inference costs, enforcing governance from the architecture stage, and supporting multi-model setups rather than locking clients into a single vendor.
As an AI software development company, we build AI agents, chatbots, generative AI, predictive analytics, data engineering, model training, system integration, testing, and cost optimization, etc. We are a trusted technology partner, backed by ISO 27001, SOC 2, and ISO 9001:2015 certifications and membership with NASSCOM. As partners with AWS, Microsoft, Google, and Oracle, we deliver secure, scalable, and enterprise-grade AI and software solutions.
Working with our AI development company, you get more than just code, a complete support ecosystem. From strategy and architecture to development, deployment, and continuous optimization, we manage everything under one roof.
After delivering 100+ solutions, our AI specialists have built end-to-end services that solve operational problems most vendors only demo. Here's the full range, each one linking through to a dedicated breakdown of scope, process, and pricing.
Factor in risk, token cost, ROI, disruption, and change management before you commit to anything. Our AI consulting services team helps you define the problem, build an implementation roadmap, map the impact on your teams, and put a number on the expected ROI.
No need to reinvent the wheel. Our generative AI development services span every major LLM family: OpenAI (GPT), Anthropic (Claude), Sarvam, Google (Gemini), Meta (Llama), Alibaba Cloud (Qwen), Moonshot AI (Kimi), and more, so the model choice fits your use case, not our toolset.
From on-premise, air-gapped AI stacks to AI woven into the CRMs and SaaS tools you already run, our custom AI solutions work is built around your existing systems and constraints instead of a one-size-fits-all platform.
Move past chat answers into execution. Our agentic AI development work builds systems that read, decide, and act on their own for enterprise-scale automation, while our AI agent development services focus on the reusable agent architecture underneath: memory, planning, and tool access your team can extend across departments.
Skip the vendor lock-in. Whether you're on Microsoft, Google, Amazon, or running hybrid, our AI integration services team designs cloud AI infrastructure and connects it into the CRMs, ERPs, and databases you already run, balanced across performance, security, compliance, and cost.
Manual inspection doesn't scale. Our computer vision development services read images, video, documents, and live camera feeds so your team catches what a human reviewer eventually would, just earlier and more consistently.
Our conversational AI platform work builds the underlying infrastructure, shared memory, voice, and multi-channel orchestration, that powers everything on top of it, including the AI chatbot development services we deploy for customer support, self-service, and internal knowledge-base assistants.
Stop hallucinated, outdated answers. Our document AI services connect retrieval-augmented generation to your internal documents, knowledge bases, and business systems for answers grounded in what your company actually knows.
AI isn't a one-time build. Models drift, costs creep, and governance needs revisiting. Our managed AI services keep your systems monitored, retrained, cost-optimized, and compliant long after launch.
Factor in risk, token cost, ROI, disruption, and change management before you commit to anything. Our AI consulting services team helps you define the problem, build an implementation roadmap, map the impact on your teams, and put a number on the expected ROI.
No need to reinvent the wheel. Our generative AI development services span every major LLM family: OpenAI (GPT), Anthropic (Claude), Sarvam, Google (Gemini), Meta (Llama), Alibaba Cloud (Qwen), Moonshot AI (Kimi), and more, so the model choice fits your use case, not our toolset.
From on-premise, air-gapped AI stacks to AI woven into the CRMs and SaaS tools you already run, our custom AI solutions work is built around your existing systems and constraints instead of a one-size-fits-all platform.
Move past chat answers into execution. Our agentic AI development work builds systems that read, decide, and act on their own for enterprise-scale automation, while our AI agent development services focus on the reusable agent architecture underneath: memory, planning, and tool access your team can extend across departments.
Skip the vendor lock-in. Whether you're on Microsoft, Google, Amazon, or running hybrid, our AI integration services team designs cloud AI infrastructure and connects it into the CRMs, ERPs, and databases you already run, balanced across performance, security, compliance, and cost.
Manual inspection doesn't scale. Our computer vision development services read images, video, documents, and live camera feeds so your team catches what a human reviewer eventually would, just earlier and more consistently.
Our conversational AI platform work builds the underlying infrastructure, shared memory, voice, and multi-channel orchestration, that powers everything on top of it, including the AI chatbot development services we deploy for customer support, self-service, and internal knowledge-base assistants.
Stop hallucinated, outdated answers. Our document AI services connect retrieval-augmented generation to your internal documents, knowledge bases, and business systems for answers grounded in what your company actually knows.
AI isn't a one-time build. Models drift, costs creep, and governance needs revisiting. Our managed AI services keep your systems monitored, retrained, cost-optimized, and compliant long after launch.
Get a free 30-minute consultation to explore AI opportunities for your business
Whether you need custom AI agents, AI copilots, predictive models, computer vision, generative AI, or NLP, we build for the workflow you actually have, not the platform we'd rather sell you. That's the difference between an AI development company and a tool reseller wearing an AI label.
GPT
Claude
BERT
RoBERTa
ResNet
YOLOv8
DALL·E
Stable Diffusion
Random Forest
XGBoost
PPO
DQN
A sample of the problems we've solved for real clients, and the measurable outcomes behind each build.
Problem: A growing SaaS company was drowning in support tickets with no intelligent system to manage them. Agents spent hours manually triaging incoming requests, responses were delayed, and customers received inconsistent answers depending on who picked up the ticket.
Our Approach: We deployed a multi-agent AI system integrated directly with the client's CRM and ticketing tools. It classifies incoming tickets, generates context-aware responses from historical ticket data and knowledge base content, and escalates complex cases to human agents with a structured summary already attached.
Results: Response times dropped 75%, manual triaging was eliminated for 70% of ticket categories, and CSAT improved within the first month.
Problem: A professional services firm had years of institutional knowledge locked inside disconnected drives, intranets, email threads, and departmental wikis. New employees took weeks to get up to speed.
Our Approach: We built a document AI solution on a retrieval-augmented generation architecture, trained on the client's own documentation and respecting existing access permissions.
Results: Employees retrieve summarized answers in seconds instead of searching five systems. Onboarding time dropped 50%, and senior-staff interruptions for repeat questions fell 65%.
Problem: A mid-sized manufacturer had years of operational data sitting in their ERP with no way to act on it. Replacing the ERP wasn't an option; running it without an intelligence layer was costing money in ways that were getting harder to ignore.
Our Approach: We connected an AI integration layer alongside the existing ERP, read-only and non-disruptive, after auditing data reliability across modules and defining a cleansing strategy for years of manual-entry inconsistencies.
Results: The manufacturer moved from lagging, report-driven decisions to real-time operational visibility, with zero disruption to the live ERP. Anomalies are now flagged 12 hours earlier than before.
AI's impact has been felt by every sector and industry around the world. Here are some of the solutions we have discussed, consulted on, created prototypes, and even provided full-fledged AI development services. Let's talk about some of our insights about the same.
Get full-fledged chatbot, an intelligent assistant for support agents, and a centralized knowledge retrieval system. Our chatbot can summarize calls, power self-service support, classify incoming requests, and automatically route customers to the most suitable AI agent or human representative.
From creating ad copy, email campaigns, and SEO content to personalizing outreach using CRM data, AI helps you do more with less effort. Use it for forecasting, prospect research, proposal drafting, and data analysis to help drive more sales.
Deploy generative AI across your technical teams. From code generation and refactoring to AI-assisted bug testing and documentation, we enable teams to build faster, improve code quality, and boost productivity.
Our AI development services have enabled workflow automation, process routing, procurement routing, operation monitoring, and IT service management, simplifying business processes.
From market research and product ideation to requirements gathering and testing, AI helps product teams move faster from concept to launch.
From financial reporting and budget planning to invoice processing and audit assistance, AI enables faster decision-making while reducing manual effort and operational overhead.
From resume screening and interview preparation to employee onboarding and internal HR assistance, AI reduces administrative workload while improving hiring efficiency and employee experience.
AI helps teams quickly search documents, summarize information, answer internal questions, and access company knowledge, reducing time spent looking for information and improving productivity.
From reporting and forecasting to strategic analysis and performance monitoring, AI enables faster, big data science driven decision-making across the organization.
Find the right AI solution designed for your business needs.
We utilize a robust and modern AI tech stack to deliver cutting-edge solutions across various domains. Here's an overview of the key technologies and tools we employ:
TensorFlow
PyTorch
Keras
Scikit-learn
XGBoost
spaCy
NLTK
Hugging Face Transformers
GPT-4
BERT
OpenCV
TensorFlow.js
PyTorch Vision
Detectron2
YOLO
Apache Spark
Pandas
Dask
Apache Kafka
SQL & NoSQL Databases
AWS
GCP
Microsoft Azure
NVIDIA GPUs
Kubernetes
Jupyter Notebooks
GitHub
PyCharm
VS Code
Slack
n8n
Zapier
Apache Airflow
Prefect
Luigi
MLflow
Kubeflow
TensorFlow Serving
ModelDB
Seldon
OpenAI API
Anthropic Claude API
Google Gemini API
Hugging Face Transformers
LangChain
LangChain
AutoGen
CrewAI
Google Vertex AI Agent Builder
LlamaIndex
Build AI solutions that are smart, secure, and ethical.
We understand that AI is not just a tool but an integral part of businesses workflows. Our decade of AI development services expertise allows us to create and manage AI integration in a way that makes the adoption effortless. Here's how we turn opportunities into AI-powered outcomes.
We begin by understanding your business workflows, challenges, and goals. Instead of asking where you want AI, we identify where your teams lose time, money, productivity, or visibility. The result would be that both you and we would have high-impact AI opportunities ranked by business value and feasibility.
Not every problem needs AI. We evaluate your processes, data, systems, and security requirements to determine whether AI is the right solution and what approach will deliver the best results. Post assessment, we present you with a clear roadmap with expected ROI, implementation complexity, and recommended AI use cases.
Our AI development experts design the right tailored AI solution for your business. Whether it's an AI assistant, AI agent, workflow automation system, knowledge base, Agentic AI, or multi-model AI platform, we create a strategy tailored to your objectives.
Before committing to full-scale development, we build a working prototype to validate accuracy, usability, and business impact. This allows you to see results early and reduce project risk. You get a proof of concept demonstrating real-world value before continuing with your investment or moving into the complete development or deployment process.
Once validated, we build and integrate your AI solution into existing business systems, applications, and workflows. Security, reliability, AI integration to your software, and user adoption are considered from day one.
AI systems require more than functional testing. We validate performance, accuracy, compliance, security, and introduce human approval workflows where critical decisions require oversight.
For faster adoption, improved productivity, and operational efficiency, we also offer support to launch your AI solution, train your teams, and ensure smooth adoption across departments. Our goal is not just implementation, but measurable business impact.
AI evolves, and so should your solution. We continuously monitor performance, optimize models, improve workflows, and track business outcomes to maximize long-term value.
Mastering AI development services is not enough to create solution that is truly useful. That's why Digital is Simple is an expert AI agency that leverages all the modern AI technologies that are the heart and soul of AI platforms.
Enable AI integrations that let your AI act on real business systems in real time, not just read from them. Model Context Protocol is the emerging standard for connecting AI systems to tools, databases, SaaS platforms, and internal software.
Get AI with the ability to retrieve information, trigger workflows, and return answers backed by live business data instead of a stale training snapshot. Function calling lets a model reach out to APIs, databases, and internal tools mid-conversation.
We help teams evaluate, tune, and deploy open models, including DeepSeek, Llama, Kimi, and Qwen, where a closed API doesn't fit the security or budget picture. Open-weight models give you more control over cost, fine-tuning, and where your data actually lives.
Beyond generative AI, classic ML still does the heavy lifting for demand forecasting, fraud detection, and recommendation engines: problems where a well-tuned model beats a large language model on cost and reliability.
The retrieval layer behind chatbots, enterprise search, and RAG applications. We deploy vector databases to give AI systems memory and semantic search over your own content rather than relying on what a base model already knows.
LangGraph, CrewAI, and AutoGen provide the planning, memory, and orchestration layer behind agents that do more than answer: they execute multi-step tasks across systems with minimal supervision.
Natural, context-aware interactions across chat, voice, and messaging, built to maintain context across a conversation instead of resetting with every message.
Forecasting built on historical and real-time data: churn prediction, demand planning, risk scoring, and fraud detection that lets teams act before a problem shows up in the numbers.
The layer that lets AI read, classify, and extract meaning from unstructured text, contracts, support tickets, reviews, and turn it into something a dashboard or a workflow can actually use.
Many AI vendors can build a solution, but far fewer can help businesses achieve successful adoption, measurable ROI, and long-term value. At Digital is Simple, we focus on solving business challenges first and applying AI where it creates the greatest impact. Here's what makes us a trusted AI development partner.
Every engagement opens with a workflow and ROI audit, so you know what a build is expected to return before you commit budget to it.
Strategy, development, integration, deployment, and ongoing support: one team accountable for the whole lifecycle instead of handoffs between vendors.
We connect AI to the CRMs, ERPs, and databases you already run, instead of asking you to rebuild around a new tool.
Model selection and architecture decisions are made with token cost and scaling in mind from the first design conversation, not patched in after the bill arrives.
Security, privacy, and governance are part of the build, backed by ISO 27001, SOC 2, and ISO 9001:2015 certifications and DPDP Act, 2023-aligned data handling.
Launch is the start, not the finish. We monitor, retrain, and optimize as your data and business change.
Every business is at a different stage of AI adoption. Whether you're exploring your first AI initiative, scaling successful deployments, or building AI as a core capability, our engagement models provide the right balance of expertise, flexibility, and cost control.
A clearly defined project with a set scope, timeline, and price, best suited to a well-defined build like a chatbot, an integration, or a prototype where requirements are locked in upfront.
A team of AI engineers, data scientists, and MLOps specialists working exclusively on your roadmap, best suited to ongoing product development or long-term AI initiatives.
Start small with a focused build, then expand scope and investment as the system proves its value, best suited to teams that want to validate ROI before scaling up.
Every industry runs on its own rhythm, its own challenges, its own moment-to-moment decisions. Our AI development company engineer solutions to understand your unique workflows, your operational nuances, and your competitive landscape.
Here's what these results look like in practice, drawn directly from the case studies above.
The SaaS support system above eliminated manual triaging across most ticket categories; the same pattern applies to approvals, data entry, and repetitive review work in other departments.
The ERP decision-engine project turned lagging monthly reports into real-time anomaly flags, without touching the underlying ERP, proof that legacy systems don't have to block better decisions.
The SaaS support system above already personalizes responses using historical ticket data; the same behavioral-data approach extends to marketing outreach and offers, personalizing at a scale manual review can't match.
The support automation case study shows what this looks like in practice: consistent, instant responses regardless of which agent, or AI, picks up the ticket.
The same anomaly-detection approach used in the manufacturing case study can be applied to fraud pattern detection in finance and insurance workflows.
Every case study above is a business that moved faster than a manual process allowed; that gap compounds the longer a competitor stays manual.
Hear about the best experiences of our clients. And look how their process went smoothly with our AI experts on their dedicated projects.
Digital is Simple offers a full-fledged team of AI experts to help you implement the
business needs you want. They have the accurate experience to help to customize the
solutions as per your needs. As we lacked the best AI-integrated enterprise solutions.
And they offered the best-in-class solutions to fulfill our needs. These experts help
you understand the customers and their growing demands to fit in business offerings. So,
they develop customized solutions that fit your customer and business demands. 
We required a clever AI system to coordinate our business development. In addition, they
requested assistance in scaling the firm through a tailored solution. They proposed a
method to better understand customers and enhance leads and conversions. As a result of
their knowledge, we were able to achieve more consistent ad prospective conversions. We
have found a trusted partner in Digital is Simple and appreciate their commitment to
their goals.
Our company wanted competent AI developers, therefore we contacted Digital is Simple. We
were seeking someone who could assist with various projects and work flexible hours. So
they offered the best of their skills to create tailored solutions. And that solution
contributed to an increase in leads, which boosted our company's reputation. They
demonstrate professionalism and openness at all stages.
Let's Build AI That Creates Real Business Value.
We provide nine core AI development services: AI consulting, generative AI development, custom AI solutions, agentic AI and AI agent development, AI integration, computer vision, conversational AI and chatbot development, document AI and RAG, and managed AI services. Every build is tailored to your objectives, workflows, and operational requirements rather than pulled from a fixed package.
We design around your existing workflow instead of fitting you into a pre-built tool. Model selection, architecture, and integration are decided case-by-case for each client, not pulled from a template.
Costs typically fall into three tiers: simple integrations using ready-made APIs (for example, connecting Claude or Kimi to Slack, Notion, or a CRM) start around $2,500; custom builds such as chatbots, virtual assistants, generative AI applications, and predictive systems typically run $50,000 to $150,000+ depending on scope; and large-scale enterprise implementations, with deeper integration and compliance requirements, start above that and can run well past six figures.
Timelines depend on scope: a working prototype takes 2 to 4 weeks, a production-ready solution takes 30 to 90 days, and large agentic or enterprise AI projects take 3 to 12 months depending on complexity and scale.
Neither is categorically better: current benchmarks put top Chinese models within roughly 1.5% to 5% of top Western models on most tasks, so the deciding factor is fit, not brand origin. Plenty of AI-native products now run hybrid stacks that mix Western and open-weight Chinese models depending on the task. The right choice depends on your accuracy, security, and data-residency needs.
Yes, we build AI model routing and multi-model setups that combine Western, Chinese, and other open-weight platforms to control cost and improve accuracy, matched to your compliance requirements.
Yes, data security and privacy are core to how we build: we follow ISO 27001, SOC 2, and ISO 9001:2015 practices, implement encryption by default, and design for DPDP Act 2023, GDPR, and HIPAA compliance depending on your sector.
We keep models accurate through continuous performance monitoring, retraining when drift shows up, and fine-tuning as your underlying data changes. This ongoing work is covered under our managed AI services.
Share your actual business problem with a shortlist of AI development companies and compare their case studies against it, not just their service lists. Ask what they'd say no to building; that answer tells you more than the pitch does.
Yes, we build AI for mobile apps, desktop software, IoT platforms, SaaS products, and enterprise systems, including chatbots, copilots, automation tools, and predictive analytics.
Book a consultation and we'll scope the problem, recommend an approach, and give you a roadmap before any commitment is made.
Yes, engagement models are built around scope and budget rather than company size. The Pay-As-You-Grow option under our Flexible AI Engagement Models is where most SMBs start.
