
Already Trusted by 100+ Businesses
How We Help Enterprises From Our Core Capabilities
We do more than build, deploy, and integrate AI models. We provide AI development services that ensure strategic alignment, long-term scalability, and consistent results. To that end, we:
Build trust and ensure compliance
with explainable AI and model interpretability techniques
Mitigate data privacy concerns
with robust data governance, zero-trust data security, and privacy-preserving methods
Prevent bias and hallucinations
with careful data selection, bias detection, and retrieval-augmented generation (RAG)
Promote adoption and engagement
and assuage common ethical, privacy, and security concerns with carefully crafted AI user flows
Incorporate AI into existing products
— even if they’re built on a legacy tech stack
Identify the most impactful AI use cases
based on goals and available data — and explain the tradeoffs between available technology choices
Darly Solutions AI Engineering Experience at a Glance
Custom AI Development Services You Need, in One Place
Curious about what we bring to the table in actual AI projects? Check out our portfolio to discover how our AI application development services deliver tangible results — and help our clients succeed.
AI consulting
AI consulting
Identify high-ROI use cases, take stock of your AI readiness, and lock in a clear roadmap before investing in AI software development services. Our experts can also help you assess risks, compare development approaches, and pick the right tech stack.
Full-cycle AI product engineering
Let us handle AI development from data selection and feature engineering to deployment and integration. We can also monitor and fine-tune the AI model after it goes live. Want to minimize risks? We can start with a proof of concept or MVP.
Generative AI development
Democratize access to data, streamline customer support, or automate tasks with our generative AI development services. We integrate off-the-shelf genAI models, integrate multimodal capabilities, and incorporate RAG and context layers.
AI integration
Don’t let AI-native competitors overtake your business. We’ll audit your existing software, whether it’s internal or external, assess its readiness, and implement the desired capabilities. Your software runs on legacy tech? We’ll find a way to enhance it with AI.
AI security
A single security incident can set you back months or years. We make sure it won’t happen. We can audit your AI system’s security posture — and protect sensitive data against prompt injection, data poisoning, and data exfiltration attacks.
AI agent development
Streamline multi-step workflows with AI agents fine-tuned for your specific processes and use cases. We’ll make sure they deliver consistently great results in real-world scenarios — and integrate human oversight and feedback loops to mitigate risks.
Prompt development services
Keep getting generic responses from LLMs or copy-pasting the same instructions over and over again? Our prompt engineers can design custom prompts that deliver more relevant, accurate responses across models — or optimize your existing templates.
AI staff augmentation services
Close that AI talent gap in days, not months. Just tell us what kind of expertise you’re after — computer vision, predictive analytics, data science, etc. — and we’ll connect you with specialists ready to integrate into your team.
Conversational AI services
Speak your users’ language and engage them 24/7. We make 1:1 user experiences possible through virtual assistants and chatbots fine-tuned for your specific use case. Our conversational AI development services also include text-to-speech and speech recognition capabilities.
Computer vision development services
Turn images and video footage into real-time insights with object detection, facial recognition, classification, and pose estimation. Or, offer a new generation of user experiences with visual search and visual language models (VLMs).

Our AI Development Services in Action: Successful Cases for Enterprise
Curious about what we bring to the table in actual AI projects? Check out our portfolio to discover how our AI application development services deliver tangible results — and help our clients succeed.
AI Development Solutions for Industry-Specific Challenges
Predictive analytics for a HIPAA-compliant HIS will require a different approach than fraud prevention for a payment solution. We get it. That’s why we tailor our approach to your industry, every time.
Improve patient experiences, engagement, and outcomes or streamline administrative tasks with AI development services. We integrate AI/ML automation and analytics into telemedicine, digital health, and HIS software — all while ensuring compliance with regulations like HIPAA.
- Healthcare analytics
- Care personalization
- Administrative workflow automation
- Medical diagnosis assistance

Turn transaction data into customer insights and mitigate risks with fraud detection and algorithmic portfolio management. With 70+ FinTech projects on our track record, we know exactly how to lay the groundwork for long-term compliance — and prevent algorithmic bias.
- Credit risk assessment and management
- Fraud detection and prevention
- Virtual assistants and customer support chatbots
- Personal finance tools and services

Protect your market share from AI-native newcomers — or challenge incumbents with an AI-native product yourself. We help traditional SaaS products become AI-enabled and build innovative AI-first proofs of concept, MVPs, and full-fledged solutions.
- Personalization and recommendation engines
- Intelligent automation, including agentic AI for multi-step workflows
- Predictive and prescriptive analytics
- Customer support automation

Gain 360-degree visibility into shop floor operations, automate repetitive tasks, and predict your needs to right-size inventory and output. We know no two manufacturers have identical operational models — so, we will study yours before implementing AI.
- Predictive maintenance
- Real-time defect detection powered by computer vision
- Predictive inventory management and logistics
- Enterprise search and documentation generation



Data Makes or Breaks AI Output. We’ll Make Sure Your Data is Ready
We’ll assess your data assets before jumping into artificial intelligence development services — and make sure the model has the context it needs to deliver accurate, targeted results.

Daria Lalaiants
CEO at Darly Solutions
For us, Compliance is Non-negotiable

GDPR

CCPA

HIPAA

PIPEDA

ISO/IEC 27001

DPDP Act, 2023 (Data Protection Bill India)

PCI DSS

PSD2

EMV & 3DS

SO/IEC 9001

ISO/IEC 27018

SOC 2 Type II

FISMA

NIST Cybersecurity Framework

OWASP Mobile Security Testing Guide

ISO 13485

Google Play Store Guidelines

Apple App Store Guidelines

OWASP

W3C
Why Trust Darly Solutions AI Development Services With Your AI Product
There’s more to a successful AI product than model performance. We get it. That’s why we take a holistic approach to deliver AI capabilities that are secure, reliable, trustworthy, and transparent.
Alignment with strategic goals
We take time to study your overall business strategy, understand how AI fits into it, and define the most impactful AI use cases. We also communicate the tradeoffs between your technology options in a way that non-technical stakeholders can understand.
Context-aware architecture
AI tools are only as good as the context they receive as input. We define what context they need and add RAG or context layers to supply your AI model with up-to-date information. The result? AI capabilities that deliver more accurate responses and perform well in real-world conditions.
Responsible AI development services
Flawed analytics and biased output can cost your business dearly. We follow responsible AI development practices — data validation, interpretability layers, traceability protocols — to mitigate these risks.
AI governance from day one
Our comprehensive, formal approach to governance streamlines risk mitigation and management from the very outset. It involves setting up automated model monitoring, establishing human-in-the-loop oversight, and creating audit trails.
Innovate & Transform With AI Technologies Aligned With Your Use Cases
Not sure which AI technology would suit your use cases best? We’ll help you compare your options, understand tradeoffs, and pick the right path forward.
Machine learning (ML)
Turn large swaths of data into real-world insights. We work with neural networks (including deep learning), as well as supervised, unsupervised, and reinforcement learning methods.
Generative AI
Automate content creation with our generative AI development services. We create and integrate genAI models that can generate text, images, video, sound, speech, music, software code, synthetic data, and simulations.
Agentic AI
Turn hour-long workflows into fifteen-minute tasks with AI agents. We build and deploy simple/model-based reflex, goal-based, utility-based, and learning agents.
Retrieval-augmented generation (RAG)
Deploy an AI model that relies on your internal knowledge without compromising its security. We clean data and implement simple, agentic, graph, and other types of RAG architecture.
Intelligent automation
Combine robotic process automation (RPA) with AI to automate more sophisticated tasks. We can also bring NLP into the mix — or leverage AI for process discovery before automation.
Computer vision
Turn computer vision into automated quality control, on-premise security monitoring, or diagnosis predictions. We leverage both CNNs and RNNs for image classification and segmentation, object tracking, visual inspection, and more.
Natural language processing (NLP)
Analyze language and speech at scale and around the clock. We implement statistical and deep learning NLP techniques for coreference resolution, named entity recognition, part-of-speech tagging, and word sense disambiguation.
Data science
No artificial intelligence development services would be complete without data science. Our data scientists inventory and assess data estates; clean, structure, and organize datasets; and engineer truly valuable features.
Data analytics
Raw data holds insights that could supercharge business growth or make your users’ lives easier. We implement descriptive, diagnostic, predictive, and prescriptive analytics to unlock those insights.
Edge AI
Protect privacy and reduce latency by running inference operations on edge devices. Our custom AI development services can push AI computations to mobile devices, IoT sensors, smart home devices, and industrial assets.
Sentiment analysis
Capture opinions and brand sentiment from social media posts, customer reviews, and more. We implement ML-based sentiment analysis that uses linear regression, support vector machines, naive Bayes, and deep learning techniques.
Explainable AI (XAI)
Make AI decisions auditable and transparent with XAI techniques. We instill trust into AI systems with prediction accuracy, traceability, and explicit reasoning to demystify AI’s inner workings.
Green AI
Ensure your AI capabilities are eco-friendly with green AI practices. We optimize where AI runs, right-size models and inference, and set up caching and energy monitoring.
AI Models We Work With
Not every business can afford to build and train a custom AI model — and not every business needs to. We integrate foundation models like OpenAI’s GPTs to help businesses like yours take advantage of the latest advances in AI quickly and without exorbitant costs.

GPT-5.5

GPT

Claude

Gemini

Llama

Mistral

DeepSeek

Qwen

Gemma

Sora

DALL-E

Midjourney

Stable Diffusion

Gemini Vision

Claude Vision

Whisper

Speech-to-text Transformers

BERT

Text-to-Speech Models

Domain-tuned ASR Architectures

RoBERTa

T5

XLM / XLM-R

ERNIE

Phi-4

Domain-Specific Transformers
AI Tech Stack for AI Application Development Services
Need a custom AI model that will become your competitive advantage? Consider it done. Prefer to start with an off-the-shelf one instead? Not a problem. Here’s our toolkit for both custom AI development and AI integration.
Programming languages
AI/ML frameworks
Foundation models
Agentic AI frameworks
Cloud platforms
Big data
Python
R
C++
Java
Scala
TensorFlow
PyTorch
Scikit-learn
OpenAI
Claude
Gemini
Llama
Hugging Face
LangChain
CrewAI
Microsoft Agent Framework
OpenAI Agents SDK
Google ADK
AWS Bedrock
AWS SageMaker
Azure AI Studio
Google Vertex AI
Apache Spark
Hadoop
Kafka
We Don't Just Deploy. We Mitigate Risks and Implement AI Transformation
As an AI development services company, we know that no AI deployment is absolutely risk-free. That’s why we take stock of risks before writing a line of code — and prepare a mitigation strategy that rests on three pillars.
Hallucination control
A single hallucination can wreak havoc in domains like finance or healthcare. We implement RAG, automated reasoning checks, and verifications against “ground truth” to prevent it.
Zero trust for AI
We apply the golden standards of zero-trust data security to safeguard AI deployments. Those include explicit verifications, the principle of the least privilege, and system design with breaches assumed.
Compliance by design
Regulations may change fast. We build a foundation for future compliance in addition to meeting the requirements of today (AI Act, GDPR, CCPA, HIPAA, etc.).
How We Deliver Enterprise-grade AI Development Solutions
Don’t know what to expect from our artificial intelligence app development services? Here’s how we turn AI use cases into value-driving capabilities.
Exploring your requirements
We discuss your project’s objectives, expected results, constraints, target users, and available data. If you want to add AI to an existing system, we’ll study it, too. You get a budget and timeline estimate.
Acquiring & preparing data
Our data science specialists take stock of your data estate. We align your AI solution with available data, not vice versa — and prepare that data for the AI model.
Developing or picking the model
If your solution requires a custom model, we design its architecture, pick the right model type, and start coding. If not, we start working with a foundation model. In either case, we run a few experiments to validate our decisions.
Training & optimizing
We train custom models on your data — or add a RAG layer if we’re working with a foundation model. We test and optimize AI capabilities in iterations until they meet benchmarks.
Validating before go-live
Consider this a final battery of tests that ensures your AI solution is ready for production. We go further than checking it for factual accuracy and fast performance, of course: we also validate safety guardrails, audit readiness, and regulatory compliance.
Integrating & deploying AI
We integrate the AI model into your application — and make sure users find AI features easy and convenient to use. We also set up the infrastructure, continuous monitoring, and CI/CD pipelines for a smooth go-live and streamlined development later on.
Monitoring & improving
If you’d like us to stay on board after deployment, our artificial intelligence software development services also include continuous support and updates. We’ll monitor your AI model for drift and operational issues — and optimize it as needed to prevent performance degradation.
Where possible, we anonymize and aggregate data. This works for use cases where trends matter more than specifics (e.g., demand forecasting). In other cases, we encrypt data and, if third-party models are involved, add a secure RAG layer.
Of course. As part of our custom AI software development services, we assess available data assets and evaluate them against your use cases. We also prepare data for AI to make sure its quality doesn’t undermine model performance.
Absolutely. Our custom artificial intelligence development services include proof of concept development and validation. Our specialists can also help you pick the right technical approach to making your idea a reality based on its tradeoffs.
When we provide artificial intelligence application development services, we identify what kind of oversight is needed and at what points (e.g., input validation, output review, processing oversight). We integrate that oversight — and make sure users understand how AI capabilities function and what their limitations are.
Sure thing. When we provide artificial intelligence services, development experts use FinOps tenets to estimate and optimize API costs for third-party foundation models. For example, we use techniques like prompt compression, model routing, caching, and batch processing.
Connect with us
.webp)
We are a tech partner that delivers ingenious digital solutions, engineering and vertical services for industry leaders powered by vetted talents.







.avif)

.avif)
.avif)



.avif)