Codiant
Delivery-focused ML development firm offering end-to-end service from discovery to post-deployment
Founded 2011 | Jaipur, India / UK | 200–400 employees | Last updated: July 2026
custom-mlml-consultingdata-engineeringmlopscomputer-vision
What is Codiant?
Codiant is a software and AI development company founded in 2011 with offices in Jaipur, India, and the UK, with 200–400 employees. The firm offers end-to-end machine learning development services covering discovery, model development, integration, and post-deployment optimisation. Codiant AI serves clients in healthcare, finance, retail, and manufacturing with cost-efficient delivery.
Codiant was founded in 2011 and is headquartered in Jaipur, India / UK. The firm employs 200–400 people and works primarily with clients in Healthcare & Life Sciences, Financial Services, Retail & E-commerce, Manufacturing & Industrial sectors. Its primary differentiator is: Cost-efficient end-to-end ML delivery covering all phases — discovery, build, integration, and optimisation — in a single engagement.
Codiant tech stack and services
PythonTensorFlowScikit-learnAWSAzureFlaskReactPostgreSQL
| Service area | Details |
|---|---|
| End-to-end ML system build for healthcare diagnostic application from discovery to deployment | Available for Healthcare & Life Sciences, Financial Services, Retail & E-commerce, Manufacturing & Industrial clients |
| E-commerce recommendation engine development with post-deployment optimisation | Available for Healthcare & Life Sciences, Financial Services, Retail & E-commerce, Manufacturing & Industrial clients |
| Financial predictive model for credit scoring with integration into existing systems | Available for Healthcare & Life Sciences, Financial Services, Retail & E-commerce, Manufacturing & Industrial clients |
| Manufacturing computer vision inspection system with post-deployment monitoring | Available for Healthcare & Life Sciences, Financial Services, Retail & E-commerce, Manufacturing & Industrial clients |
| Custom NLP model for legal document classification and extraction | Available for Healthcare & Life Sciences, Financial Services, Retail & E-commerce, Manufacturing & Industrial clients |
Codiant use cases
Short answer: Codiant is best suited for budget-conscious organisations needing end-to-end ML delivery from discovery through post-deployment support.
| Use case | Industries | Approach |
|---|---|---|
| End-to-end ML system build for healthcare diagnostic application from discovery to deployment | Healthcare & Life Sciences, Financial Services | Python, TensorFlow |
| E-commerce recommendation engine development with post-deployment optimisation | Healthcare & Life Sciences, Financial Services | Python, TensorFlow |
| Financial predictive model for credit scoring with integration into existing systems | Healthcare & Life Sciences, Financial Services | Python, TensorFlow |
| Manufacturing computer vision inspection system with post-deployment monitoring | Healthcare & Life Sciences, Financial Services | Python, TensorFlow |
| Custom NLP model for legal document classification and extraction | Healthcare & Life Sciences, Financial Services | Python, TensorFlow |
Codiant pricing
Short answer: Codiant uses a fixed project, t&m pricing approach. Minimum engagement starts at $10K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $10K | Well-defined scope |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
Codiant does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Codiant pros and cons
| Advantages | Things to consider |
|---|---|
| +$10K minimum — one of the most accessible entry points for full-cycle ML development | -India-based primary delivery — async communication challenges for US West Coast clients |
| +End-to-end scope covers discovery through post-deployment, reducing handoff risk | -Less specialist depth in advanced MLOps, LLM orchestration, and enterprise compliance |
| +UK presence provides EU time-zone alignment and GDPR proximity for European clients | -Smaller brand visibility makes independent verification of delivery quality harder |
| +Cost-efficient rates for healthcare, fintech, and retail ML use cases | |
| +13-year delivery track record across four major verticals |
Codiant vs alternatives
How Codiant compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market and enterprise teams needing specialist computer vision,... | Boutique ML depth combined with Anadea's 25-year enterprise delivery foundation — rare combination in the ML services market | 4.9 | Full comparison |
| LeewayHertz | Businesses that need generative AI or LLM integration... | Among the earliest boutique firms to build a structured GenAI delivery framework — deep LLM orchestration and RAG pipeline experience | 4.7 | Full comparison |
| Scopic | Companies that need genuinely custom ML architectures rather... | Engineers custom ML architectures from the ground up — not fine-tuned wrappers — with 20 years of production delivery discipline | 4.6 | Full comparison |
| InData Labs | Businesses with complex, highly specific ML problems requiring... | Boutique firm with a track record of solving atypical, high-complexity ML problems that generalist shops decline or under-deliver on | 4.6 | Full comparison |
| DATAFOREST | Mid-market companies that need a single vendor to... | Structured MLaaS delivery model — one team owns data engineering, model development, and post-deployment monitoring end-to-end | 4.5 | Full comparison |
| Forte Group | Regulated mid-market firms in financial services, insurance, or... | ML delivery built for regulated environments — model risk governance, audit trails, and compliance-aligned architecture are built in, not bolted on | 4.5 | Full comparison |
| RTS Labs | High-growth US companies that have done ML experiments... | Small by choice, senior by design — every project is staffed with senior practitioners accountable for post-launch performance, not just the plan | 4.5 | Full comparison |
| Quantiphi | Enterprises that need cloud-native ML at scale on... | AWS Premier and four-time Google Cloud Partner of the Year — the highest independently verified cloud ML credentials in the market | 4.4 | Full comparison |
| N-iX | European and US enterprises that need large dedicated... | Scale and depth in one package — 2,000+ engineers with a mature ML practice and competitive EU delivery rates | 4.4 | Full comparison |
| Miquido | Product companies that need ML or GenAI embedded... | GenAI and mobile ML integration in one team — a rare combination for companies building AI-native products for end users | 4.4 | Full comparison |
| Algoscale | Fortune 500 and growth-stage companies that need ML... | 100+ production ML deployments on AWS, Azure, and Snowflake — proven at enterprise scale with multiple cloud stacks | 4.3 | Full comparison |
| STX Next | Python-stack product companies that need ML tightly integrated... | Europe's largest Python shop — ML is embedded in full-stack Python systems with MLOps, not delivered as an isolated model | 4.3 | Full comparison |
| Intellias | Enterprises that need AWS-native ML with independently validated... | AWS AI Services Competency with verified production benchmarks — 10x TCO reduction in aerial imagery and sub-8-second NLP query latency | 4.3 | Full comparison |
| ScienceSoft | Healthcare and financial services organisations that need ML... | Over 35 years of regulated IT delivery — compliance-aligned ML architecture is a core competency, not an add-on | 4.2 | Full comparison |
| Simform | Enterprises that need cloud-native ML with IoT sensor... | AWS Premier Partner specialising in connecting physical IoT sensor data to cloud-based ML models for predictive maintenance | 4.2 | Full comparison |
| Oxagile | Enterprises in healthcare, media, or retail seeking cost-effective... | Strong connected-care and healthcare AI track record combined with 40–60% cost advantage versus US equivalents | 4.2 | Full comparison |
| Softeq | Companies building AI that must run on hardware... | Hardware-to-cloud ML engineering — a rare full-stack capability covering embedded device AI through cloud model serving | 4.1 | Full comparison |
| Aimprosoft | Small and mid-sized businesses that need AI consulting... | Full-cycle AI delivery from consulting through implementation, optimised for SMB budgets and timelines | 4.1 | Full comparison |
| Uvik Software | Teams with an existing ML codebase that need... | Senior-only ML engineer staffing — embedded in your stack, working in your tools, without agency overhead | 4.1 | Full comparison |
| Ciklum | Digital enterprises in FinTech, Retail, or Healthcare that... | 25+ AI products in production combined with 3,000+ global engineers — enterprise AI scale without the big-four overhead | 4.1 | Full comparison |
| Iflexion | Organisations new to ML that need AI strategy... | Consulting-first model ensures the ML problem is correctly defined before engineering investment begins | 4.0 | Full comparison |
| Itransition | European enterprises and US companies with EU operations... | EU regulatory compliance depth for ML — GDPR-aligned data architecture and EU AI Act readiness built into delivery | 4.0 | Full comparison |
| DataToBiz | Startups and growth-stage companies that need to take... | Product-oriented ML delivery — combines AI strategy with full-cycle engineering to produce launchable products, not just models | 4.0 | Full comparison |
| BairesDev | Enterprises and scale-ups that need large dedicated ML... | Latin American engineering delivery with US time-zone alignment — faster team ramp than Asian offshore with significant rate advantage versus US onshore | 4.0 | Full comparison |
| Andersen Lab | Enterprises needing large-scale ML delivery with named Fortune-500-level... | Named client references including Siemens, S&P Global, and Ryanair — enterprise ML track record at the highest scale | 4.0 | Full comparison |
| Intuz | Small and mid-size companies needing AI and ML... | 1,700+ delivered projects for SMBs — the broadest SMB ML delivery track record in this list | 3.9 | Full comparison |
| Tredence | Fortune 500 enterprises needing large-scale AI analytics, MLOps... | Large specialised analytics and AI firm — enterprise supply chain ML and CX analytics depth with Fortune 500 client delivery track record | 3.9 | Full comparison |
| GlobalLogic (Hitachi) | Global enterprises requiring MLOps at massive scale with... | Hitachi Group backing with 27,000 engineers — the scale and compliance posture of a major industrial conglomerate applied to enterprise ML | 3.9 | Full comparison |
| EPAM Systems | Global enterprises building complex, software-heavy AI products that... | AI-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list | 3.8 | Full comparison |
| Cognizant | Fortune 500 enterprises running multi-year AI transformation programmes... | One of the world's largest AI & Analytics practices — Fortune 500 industry vertical depth and compliance credentials at 350,000-person delivery scale | 3.8 | Full comparison |
| Accenture | Global enterprises with strict governance requirements scaling GenAI,... | Accenture's global AI practice applies consulting strategy, industry domain expertise, and engineering delivery at 700,000-person scale — designed exclusively for enterprise | 3.8 | Full comparison |
| DataRobot | Enterprise data science teams that want a governed... | Platform-driven ML — DataRobot's AutoML engine and MLOps governance layer enable internal data science teams to build and manage models at scale without per-project custom development | 3.8 | Full comparison |
Codiant FAQ
What is Codiant?
Codiant is a software and AI development company founded in 2011 with offices in Jaipur, India, and the UK, with 200–400 employees. The firm offers end-to-end machine learning development services covering discovery, model development, integration, and post-deployment optimisation. Codiant AI serves clients in healthcare, finance, retail, and manufacturing with cost-efficient delivery.
How much does Codiant charge?
Codiant uses fixed project, t&m pricing. Minimum engagement starts at $10K. A discovery call is required to get project-specific quotes.
What tech stack does Codiant use?
Codiant works with Python, TensorFlow, Scikit-learn, AWS, Azure, Flask, React, PostgreSQL. Primary industries served include Healthcare & Life Sciences, Financial Services, Retail & E-commerce, Manufacturing & Industrial.
Is Codiant right for enterprise?
Budget-conscious organisations needing end-to-end ML delivery from discovery through post-deployment support. 200–400 team size. Key consideration: India-based primary delivery — async communication challenges for US West Coast clients.
What are the best Codiant alternatives?
The best alternatives to Codiant depend on your use case. Top options are:
- Tensorway: boutique ml depth combined with anadea's 25-year enterprise delivery foundation — rare combination in the ml services market
- LeewayHertz: among the earliest boutique firms to build a structured genai delivery framework — deep llm orchestration and rag pipeline experience
- Scopic: engineers custom ml architectures from the ground up — not fine-tuned wrappers — with 20 years of production delivery discipline
Compare Codiant with other Machine Learning Development companies
Codiant vs Tensorway Codiant vs LeewayHertz Codiant vs Scopic Codiant vs InData Labs Codiant vs DATAFOREST Codiant vs Forte Group Codiant vs RTS Labs Codiant vs Quantiphi Codiant vs N-iX Codiant vs Miquido Codiant vs Algoscale Codiant vs STX Next Codiant vs Intellias Codiant vs ScienceSoft Codiant vs Simform Codiant vs Oxagile Codiant vs Softeq Codiant vs Aimprosoft Codiant vs Uvik Software Codiant vs Ciklum Codiant vs Iflexion Codiant vs Itransition Codiant vs DataToBiz Codiant vs BairesDev Codiant vs Andersen Lab Codiant vs Intuz Codiant vs Tredence Codiant vs GlobalLogic (Hitachi) Codiant vs EPAM Systems Codiant vs Cognizant Codiant vs Accenture Codiant vs DataRobot
Last reviewed: July 2026. Verify all details directly with Codiant before making a decision.