Services

Case Studies

Team

Contact

AI Solutions & Models

Build AI systems that perform beyond pilots

Most teams can build an LLM prototype. The real challenge is production reliability. Devkraft helps you design, build, and operationalize AI systems that stay accurate, grounded, and scalable.

Talk to an AI expert at Devkraft

Our Suite of services

Custom LLM Development & Fine-Tuning
API Design, Guardrails, Monitoring & Drift Detection
Reliable RAG Implementations (retrieval, grounding, indexing)
Multimodal AI (text, image, video)
AI Integration into Products & Workflows

Reliable RAG Implementations (retrieval, grounding, indexing)
Custom LLM Development & Fine-Tuning
AI Integration into Products & Workflows
API Design, Guardrails, Monitoring & Drift Detection
Multimodal AI (text, image, video)

The problem most companies run into

Fragmented data

Unreliable model behavior

No grounding in real knowledge

Integration complexity

Poor latency and cost control

Lack of monitoring or drift detection

The Result ?

AI that looks promising in theory but fails in practice.

How Devkraft helps you

Get a production-grade AI system built by a team that has done it before - repeatedly.

70% faster time-to-production compared to typical pilot teams

End-to-end ownership - architecture, models, pipelines, apps, MLOps

Reliability built in from Day 1 with monitoring, logs & guardrails

Embedded collaboration with your product, data, and engineering teams

Predictable delivery with strong engineering discipline

How we solve it ,
our end-to-end approach

Our approach is built around one belief: AI isn’t just a model - it’s an engineered system.

Talk to an AI expert at Devkraft

We understand your context

Every engagement begins with understanding your workflows, constraints, data maturity, and business KPIs. This ensures we solve the right problem.

1

We understand your context

Every engagement begins with understanding your workflows, constraints, data maturity, and business KPIs. This ensures we solve the right problem.

1

We understand your context

Every engagement begins with understanding your workflows, constraints, data maturity, and business KPIs. This ensures we solve the right problem.

1

We design the architecture

We define the full system:

Model approach (LLM, fine-tuning, RAG, multimodal)
Data pipelines
Retrieval flows
APIs and integrations
Performance + security considerations

Built from day one for production readiness.

2

We design the architecture

We define the full system:

Model approach (LLM, fine-tuning, RAG, multimodal)
Data pipelines
Retrieval flows
APIs and integrations
Performance + security considerations

Built from day one for production readiness.

2

We design the architecture

We define the full system:

Model approach (LLM, fine-tuning, RAG, multimodal)
Data pipelines
Retrieval flows
APIs and integrations
Performance + security considerations

Built from day one for production readiness.

2

We build the models

Our team trains, fine-tunes, or customizes LLMs and builds retrieval systems aligned to your domain. Accuracy, grounding, and consistent output behavior are core priorities.

3

We build the models

Our team trains, fine-tunes, or customizes LLMs and builds retrieval systems aligned to your domain. Accuracy, grounding, and consistent output behavior are core priorities.

3

We build the models

Our team trains, fine-tunes, or customizes LLMs and builds retrieval systems aligned to your domain. Accuracy, grounding, and consistent output behavior are core priorities.

3

We integrate it into your stack

Your AI plugs smoothly into existing applications, CRMs, ERPs, knowledge systems, and workflows - not isolated in a sandbox.

4

We integrate it into your stack

Your AI plugs smoothly into existing applications, CRMs, ERPs, knowledge systems, and workflows - not isolated in a sandbox.

4

We integrate it into your stack

Your AI plugs smoothly into existing applications, CRMs, ERPs, knowledge systems, and workflows - not isolated in a sandbox.

4

We deploy and maintain

This is where most teams struggle - but where Devkraft is strongest. We enable continuous monitoring, drift alerts, model versioning, latency optimization, and cost control.

Your AI remains reliable long after launch.

5

We deploy and maintain

This is where most teams struggle - but where Devkraft is strongest. We enable continuous monitoring, drift alerts, model versioning, latency optimization, and cost control.

Your AI remains reliable long after launch.

5

We deploy and maintain

This is where most teams struggle - but where Devkraft is strongest. We enable continuous monitoring, drift alerts, model versioning, latency optimization, and cost control.

Your AI remains reliable long after launch.