ScalaCode is an AI software development company that turns complex ideas into scalable digital products. Since 2011, our trusted team of 250+ in-house engineers has delivered 50+ custom AI solutions, powering more than 1,300 companies across 45+ countries. Specializing in generative AI and LLM/RAG frameworks, we modernize legacy platforms, integrate advanced AI, and provide dedicated remote developers to scale your business.
9001:2015 Certified
Top Software Developers 2024
Advanced Tier Partner
AI Winner 2025
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Every engagement opens with a discovery sprint and closes with running code in your repository, a written decision log, and a maintenance plan your team can take over.
A deeper look at how we build each capability. Each pane shows the work, the stack, the timeline, and the cost.
We build AI agents that take on the multi-step work your team runs manually today, from customer research and Tier 1 support to sales operations and document review. Each agent runs on LangGraph with audit logs at every decision point, confidence gates before every action, and an escalation path to a human reviewer when the model is unsure about its next step. A typical agent build runs eight to twelve weeks with a team of three engineers.
We build generative AI copilots, content systems, and conversational interfaces that live inside your product, with model selection driven by the workload at hand. We use OpenAI GPT-5.5 for breadth and tool use, Anthropic Claude 4.x for reasoning and long-context work, Google Gemini 3 for multimodal use cases, and Llama 4 or Mistral 3 when clients need on-premise hosting under data residency rules. Every system ships with grounded retrieval, evaluation suites on Ragas, prompt tracing on Langfuse, and inference cost ceilings per user and per session. A typical build runs six to ten weeks with two engineers and a product lead.
We build machine learning models that detect patterns, signal risk, and forecast the outcomes your business needs to act on. Common deployments cover fraud detection, demand forecasting, recommendation engines, churn prediction, and credit risk scoring, with models running on TensorFlow and PyTorch and production monitoring running on MLflow and Arize Phoenix. A typical fraud detection model targets sub-100 millisecond latency at 95 percent precision across a ten to sixteen week build with a team of three to four engineers.
We automate document-heavy work for finance, HR, legal, and procurement teams through pipelines that handle OCR, classification, validation, and compliance checks. The build stack runs on Azure AI Document Intelligence and AWS Textract with workflow orchestration on Temporal, where accuracy reaches 90 percent on structured forms and 80 percent on semi-structured. Throughput hits 1,000 documents per hour per worker, and a typical deployment ships in four to eight weeks.
We add AI capability to the systems your business already runs by integrating LLMs and machine learning into Salesforce, SAP, Oracle, and Microsoft Dynamics 365 through secure adapters. Your audit trails, role-based access controls, and core architecture stay intact through the integration, and a typical project ships in three to eight weeks per system.
We build the full-stack platforms that AI rides on, with web work running on Next.js, React, and FastAPI and mobile work running on Swift, Kotlin, Flutter, and React Native. Our legacy modernisation work moves on-premise systems to cloud-native architectures on AWS, Azure, or Google Cloud with zero-downtime cutover plans that keep live operations running throughout the move.
You can hire in-house ScalaCode engineers on monthly contracts who report into your engineering manager, follow your engineering standards, and work in your time zone. Our bench covers AI, machine learning, full-stack, mobile, DevOps, and data engineering, with monthly rates running from $1,200 for associate engineers to $4,000 for tech leads. Engineers onboard in one to two weeks, and the average engineer tenure on our bench is 2.5 years.
We run managed cloud and DevOps for teams that need senior infrastructure capacity without taking on the headcount. We work across AWS, Azure, and Google Cloud, with infrastructure on Terraform, CI/CD pipelines on GitHub Actions and GitLab, and observability on Datadog and Grafana. Our uptime SLA is 99.9 percent, and managed services start at $3,500 per month for small workloads and reach $25,000 or more for enterprise estates.
An AI software development company designs, builds, and operates software powered by artificial intelligence, with a standard scope that covers autonomous AI agents, generative AI applications, LLM and RAG systems, machine learning models, NLP and computer vision pipelines, and AI mobile and web applications. ScalaCode delivers all through 250-plus in-house engineers working under ISO 9001:2015 quality processes, and we have shipped more than 500 production systems for clients across 45-plus countries since 2011. As of 2026, 88 percent of organisations use AI in at least one business function, according to McKinsey's State of AI 2025 report, yet only 6 percent capture disproportionate value from it. The gap sits in engineering rigour and operational discipline.
We build autonomous AI agents on LangGraph, generative AI applications on GPT, Claude, and Gemini, and LLM and RAG pipelines on Pinecone and Weaviate. Our machine learning models run on TensorFlow and PyTorch, while AI mobile apps ship across iOS, Android, Flutter, and React Native through native and cross-platform builds.
We use LangChain and LangGraph for agent orchestration, with GPT-5.5, Anthropic Claude 4.x, and Google Gemini 3 for inference and Llama 4 or Mistral 3 when on-premise hosting is required. Our retrieval layer runs on Pinecone, Weaviate, and pgvector, evaluation runs on Ragas, prompt tracing runs on Langfuse, and production monitoring runs on Arize across AWS, Azure, and Google Cloud.
A focused proof of concept runs $5,000 to $15,000 over four to six weeks, while a production AI feature runs $25,000 to $50,000 over eight to twelve weeks. An enterprise AI platform runs $80,000 to $200,000 over four to six months, and monthly engineer engagements run from $1,200 to $4,000 per engineer by seniority.
We build the full-stack platforms that AI rides on, with web, mobile, SaaS, and enterprise work that meets the same engineering and audit standard as the AI layer above.
We employ more than 250 full-time engineers on permanent payroll, with an average engineer tenure of 2.5 years, and all code, design files, and IP transfer to your repositories at the end of every engagement.
We publish our rate cards and developer costs so that you know exactly where time and money go before you commit. See the full rate card.
We have held ISO 9001:2015 certification since 2018 under certificate 26EQQH86, with HIPAA-aligned HealthTech builds, PCI DSS-aligned fintech builds, and GDPR data residency on every EU client deployment.
We have shipped more than 500-plus production systems since 2011, with most of them running for three or more years in live operation, and multi-region failover and 99.9 percent uptime SLAs come standard in every production deployment.
We're headquartered in Noida, India, and operate as one distributed team across the country through a hybrid and remote setup. Backed by a network of delivery and engagement partners in the US, UK, Australia, and Europe, we support clients in more than 45 countries.
A senior AI engineer joins every discovery sprint we run, and the team brings LangGraph, RAG patterns, evaluation suites on Ragas, and MLOps tooling on MLflow and Arize Phoenix into the architecture from the first sprint of every project.
A senior AI engineer joins every discovery sprint we run, and the architecture brings LangGraph for agents, RAG for grounded LLMs, evaluation suites on Ragas, and MLOps tooling on MLflow and Arize Phoenix into the project from the first sprint.
We run two-week sprints with a working demo at the close of each one and a written decision log captured on every call, and your first working build typically lands within two to six weeks of project kickoff.
We have shipped more than 500 production systems since 2011 across fintech, retail, healthcare, and manufacturing, with brands we have worked with including Hero, Sony, Airtel, McDonald's, and Domino's.
We have held ISO 9001:2015 certification since 2018 under certificate 26EQQH86, with HIPAA-aligned HealthTech builds, PCI DSS-aligned fintech builds, and GDPR residency rules followed on every EU client deployment.
We employ more than 250 full-time engineers with a 2.5-year average tenure, where every engineer passes a four-round technical evaluation before joining a client engagement and works across AI, full-stack, mobile, DevOps, and data engineering.
Every system we ship includes inference cost ceilings to keep AI spend predictable, audit logging on every model decision, evaluation suites that run on golden datasets, and regression tests that run on every release.
These are the third-party verifiable signals procurement and engineering leaders rely on when evaluating AI development partners for production work.
We have our engineering, delivery, and customer success processes audited under ISO 9001:2015 every twelve months, which is the same Quality Management Standard global enterprises require from their core software vendors.
We hold a 4.8 of 5 star rating verified Clutch reviews. Clutch listed us as Top Software Development Firm in 2024 and Top Android App Developer in 2024. GoodFirms listed us as Top Mobile App Company in 2023, and TechBehemoths featured us in the Global AI Awards 2025.
We have shipped more than 500 live production builds since 2011. Our work covers fintech, healthcare, retail, logistics, manufacturing, automotive, travel, and EdTech. Brands we have worked with include Hero, Sony, Airtel, Domino's, and Budweiser.
I looked around at several developers to compare costs, but they didn’t fit within my budget. Finally, I reached out to a company in India called ScalaCode. We set up several online meetings over a couple of weeks and came up with an app that did exactly what I wanted within my budget. I can confidently say that ScalaCode has been an excellent choice for me.
Stakeholders are impressed with ScalaCode deliverables. The mobile app has been accepted on both Google Play and App Store. Moreover, we are impressed with the team’s range of abilities from design and development to database and app creation. Overall, the engagement has been a success.
ScalaCode provides great results, uplifting the collaborative experience with their impressive project management style. The team always delivers as expected, which is manifested by the length of the ongoing relationship with us. Overall, their services have been impressive.
Stakeholders are impressed with ScalaCode deliverables. The mobile app has been accepted on both Google Play and App Store. Moreover, we are impressed with the team’s range of abilities from design and development to database and app creation. Overall, the engagement has been a success.
The application was basically built from scratch, and was complicated, as the software was to be integrated with a certain Medical EHR software. As the CEO of SHG, I was very pleased with the services, expertise, and support we received from ScalaCode, from the beginning directly through the first LIVE implementation.
The iOS and Android apps exceeded the expectations of the internal team. ScalaCode crafts high-quality products that are easy to use and fit the requirements of the client. The team is technically experienced, hard-working, and knowledgeable.
I needed a reliable team on-hand, and ScalaCode delivered. Their excellent availability and project oversight made a big impact.
Our XR project had unique hurdles, but ScalaCode grasped it fast and delivered beyond expectations with excellent collaboration.
We provide pre-vetted in-house engineers on monthly contracts who report into your engineering manager, follow your engineering standards, and work in your time zone, with monthly rates running from $1,200 to $4,000 per engineer by seniority.
Book a free AI readiness assessment with our solution architects. We'll evaluate your current systems, identify high-impact AI opportunities, and deliver a clear implementation roadmap , no commitment required.
Get Free AI AssessmentWe build compliance-grade platforms aligned to each sector's data residency rules and audit posture, with brands we have worked with including Hero, Sony, Airtel, McDonald's, and Domino's.
Our delivery runs through five phases with concrete deliverables at every gate, and every gate produces a written artefact that your stakeholders sign off before the next phase begins.
Week 1 to 2: Senior AI engineer, product lead, and delivery lead run discovery with your stakeholders. Output: written project plan, architecture diagram, sprint scope, and cost ceiling.
In weeks two and three, we produce system diagrams, model selection notes, and an integration map, which your stakeholders review and sign off before any build work starts on sprint one.
From week three onwards, we run two-week sprints where every sprint closes with a working demo and a written decision log, and code commits land in your repository from day one of the build.
Functional QA on Playwright and Cypress. Load testing on k6. Security scans on Snyk and SonarQube. AI accuracy benchmarks on golden datasets. Pen test by an external firm on request.
We deploy to production on AWS, Azure, or Google Cloud and deliver documentation and runbooks, with code and IP transferring to your repository at hand-off and optional maintenance retainers available from $3,500 per month.
Our Tier 1 support agents resolve 60 to 80 percent of inbound tickets in production, our research agents produce first-draft outputs at roughly ten times manual speed, and our document extraction agents process 1,000 pages per hour per worker.
Copilots embedded in product UIs on GPT, Claude, and Gemini. Content generators for marketing, legal, and engineering teams. Fine-tuned Llama 4 or Mistral 3 models where data residency or cost requires on-premise hosting.
Our fraud detection models run at sub-100 millisecond latency with 95 percent precision, our demand forecasting models stay under 12 percent MAPE on weekly horizons, and our churn prediction models hit 85 percent AUC or higher in production.
We build RAG knowledge bases on Pinecone or Weaviate and OCR pipelines on Azure AI Document Intelligence, where extraction accuracy reaches 90 percent on standard forms and throughput hits 1,000 documents per hour per worker.
We build web and mobile apps on Next.js, Swift, Kotlin, Flutter, and React Native where AI features sit at the core of the experience, with live deployments covering vision search, voice interfaces, AR experiences, and conversational interfaces.
We integrate LLM and machine learning capability into Salesforce, SAP, Oracle, and Microsoft Dynamics 365 through secure adapters that preserve audit trails and role-based access, with no core rewrite required and no disruption to live operations.
As an AI app development company, we build intelligent mobile and web apps that cover native iOS in Swift, native Android in Kotlin, and cross-platform builds on Flutter and React Native. AI calls run server-side for cost control, and offline graceful degradation handles intermittent connectivity in every build we ship.
Estimate your AI software development cost and timeline in 60 seconds
Calculate Your Project Cost →A proof of concept ships in four to six weeks, a production AI feature ships in eight to twelve weeks, and an enterprise AI platform ships in four to six months. Discovery starts within three to five business days of first contact, and engineers onboard onto your project within one to two weeks of kickoff.
A proof of concept costs $5,000 to $15,000, a production AI feature costs $25,000 to $50,000, and an enterprise AI platform costs $80,000 to $200,000. Monthly engineer engagements run from $1,200 to $4,000 per engineer by seniority, and every fixed-bid sprint comes with a written scope and a cost ceiling.
Yes. As an AI app development company, we ship native iOS in Swift, native Android in Kotlin, and cross-platform builds on Flutter and React Native, with model selection, prompt engineering, fallback logic, and App Store and Play Store submission included in every engagement.
Yes. We use OpenAI GPT-5.5 for breadth and tool use, Anthropic Claude 4.x for reasoning and long-context tasks, Google Gemini 3 for multimodal workloads, and Llama 4 or Mistral 3 when clients need on-premise hosting under data residency rules.
Evaluation suites run on golden datasets. Production monitoring covers accuracy, latency, and cost with Arize and Langfuse. Fallback paths handle model failures. Cost ceilings cap inference. Regression tests run on every release. Human-in-the-loop controls and audit logging are built in from day one.
Yes. We work across AWS, Azure, and Google Cloud, and we integrate with Salesforce, SAP, Oracle, Microsoft Dynamics, Workday, HubSpot, and Zoho. We also work with regional ERPs and industry-specific tools your team already runs day-to-day.
We sign a mutual NDA before discovery starts, and all code, design files, and IP transfer to your repository at hand-off. Data handling runs under ISO 9001:2015 processes, with residency following GDPR, HIPAA, or PCI DSS depending on the sector you operate in.
Yes. Monthly engineer engagements start at $1,200 for associate engineers and reach $4,000 for tech leads. Engineers report into your engineering manager, follow your engineering standards, and work in your time zone, with onboarding completed in one to two weeks.
Check five signals when you evaluate any AI development partner: a senior engineer ratio of 60 percent or higher, an AI engineer on the discovery sprint, a public rate card, a written IP transfer clause at hand-off, and verifiable third-party reviews on Clutch or GoodFirms. ScalaCode publishes all five.
An AI software company employs AI engineers in-house, runs MLOps tooling on MLflow and Arize Phoenix, and brings evaluation discipline on Ragas as core staff capabilities. A general software company ships software well but calls an external AI API without the model selection, evaluation, or cost-control engineering underneath.
Our engineering is anchored in India with offices in Noida (HQ), Bengaluru, and Mumbai, while delivery oversight runs from San Jose, Somerset, Burlington, Brisbane, and Habo. We serve clients in more than 45 countries across North America, Europe, and APAC.
ScalaCode is an AI software development company founded in 2011 by Mahabir Prasad and headquartered in Noida, India. We also operate as an AI app development company, building iOS, Android, Flutter, and React Native applications where AI is the core product experience. The company runs from six offices across five countries, with engineering anchored in Noida, Bengaluru, and Mumbai and delivery oversight running from San Jose, Somerset, Burlington, Brisbane, and Habo. ScalaCode is ISO 9001:2015 certified under certificate 26EQQH86, and our 250-plus in-house engineers have delivered more than 500 production systems to clients in 45-plus countries.
We build AI agents on LangGraph, generative AI on GPT, Claude, and Gemini, LLM and RAG systems on Pinecone and Weaviate. We build AI mobile apps on iOS, Android, Flutter, and React Native. Under the AI layer, we deliver custom software, SaaS platforms, and cloud engineering on AWS, Azure, and Google Cloud.
Brands we have worked with include Hero, Sony, Airtel, McDonald's, Domino's, and Budweiser, and we build compliance-grade platforms across regulated sectors. Our HealthTech work follows HIPAA, our fintech work follows PCI DSS and AML patterns, our logistics work includes routing AI, and our EdTech work covers learning systems. Clutch listed us as Top Software Developer in 2024, and TechBehemoths featured us in the Global AI Awards 2025.
Our XR project had unique hurdles, but ScalaCode grasped it fast and delivered beyond expectations with excellent collaboration.
Recognized by Industry Leaders & Valued by Global Clients
