AI development services

Add AI features to your product without rebuilding your stack

Embedded AI engineers who design, build, and ship production-ready AI systems inside
your existing architecture.
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Monolith decomposition
Performance optimization
Large-scale data processing
AI product features
Property management AI assistant
Reduced data search from up to 30 minutes
to 3 seconds per document
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Large-scale data processing
Real-time data sync
MVP to production
Mid-flight rescue
AI for financial analysis
A multi-agent AI system shipped in 6 weeks. 7 specialized agents cut token cost by 5×, same accuracy, fraction of the runtime spend
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Microservices architecture
Platform integrations
Security & compliance
AI product features
Manufacturing
ML forecasts risks, real-time monitoring flags anomalies, and an AI co-pilot guides factory teams through response
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2–3 weeks
Working AI prototype
90 days
Production AI features live
30% faster delivery
AI-accelerated engineering

Let's walk you through our recent projects

Let's walk you through our recent projects

AI for financial analysis
RAG-powered knowledge engine for real estate
All cases
Need a complex integration?
We'll have a working PoC in 5 days.
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Financial analytics
FinTech

Multi-agent AI for financial analysis and forecasting

Accountants spent hours pulling reports from QuickBooks and Stripe, then forecasting expenses. A single big-model AI assistant ran too expensive to be viable.



Radency engineers led by a Solution Architect built 7 specialized AI agents plus an orchestrator, each handling a narrow slice.



The product shipped in weeks, runs at 1/5 the token cost of a single-model approach, and answers what used to take hours.

Read full case study
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Property management AI
Real estate

RAG knowledge engine, running entirely on-premise

A US property management company was sitting on decades of reports, deeds, and appraisals no one could query. A single number took 30 minutes to find.


Radency engineers led by a Solution Architect built a fully on-premise RAG system on self-hosted Llama 3.3 with custom parsing pipelines.


Document research is now ~99% faster, with every query, document, and model staying on the client's GPU server.

Read full case study

Why most

AI projects stall

Off-the-shelf tools don't connect to your systems

AI built into your stack, not bolted on. Custom integrations with your APIs, databases, and internal services, so AI can read your real data, not a sanitized export of it.

Your data is too sensitive for external AI services

Your data never leaves your infrastructure. On-premises models, private cloud deployments, anonymization pipelines, built for teams under GDPR, HIPAA, or financial regulation.

Your data isn't prepared 
for AI

Messy data, made model-ready. RAG pipelines, vector indexes, and preprocessing built specifically for your data shape, not a generic template.

Your team knows your product, 
but not AI

Senior AI engineers, alongside your team. A solution architect leads the AI track while your engineers keep building the product. AI work happens. Roadmap doesn't slow down.

High-impact AI use


cases we deliver

We've built AI systems across every major use case, from customer-facing chatbots to backend process automation. Here's what we can build for your business
01
AI copilots inside your

product
  • Answer complex user questions across fragmented data
  • Generate reports, summaries, and recommendations
  • Assist internal teams with domain-specific workflows
02
Workflow automation
that actually removes work
  • Extract and structure data from documents and files
  • Classify, route, and prioritize incoming requests
  • Automate compliance-heavy flows like KYC/KYB
03
Data-driven decision

systems
  • Forecast demand, revenue, or operational risk
  • Detect anomalies before they become incidents
  • Recommend actions based on live system data

Don't see your use case?

These are our most common projects. If you have a process that's repetitive, data-heavy, or requires intelligent decision-making, we can probably automate it with AI.
Book a call

Embed our AI development and integration expertise into your team

We build solutions that perform reliably in production while controlling the costs of AI integration and development. Here's the expertise we bring to your AI integration projects
AI strategy & rapid prototyping
Find the highest-impact AI opportunities
We analyze your workflows, data, and architecture to identify where AI can deliver real product or operational impact.
Prototype before committing
A working proof of concept is built in 2–3 weeks to validate feasibility, accuracy, and cost before full implementation.
Choose the right models and architecture
We evaluate different model providers and deployment options to design an AI system that fits your product and infrastructure.
Define a realistic AI roadmap
You get a clear plan for how AI features can evolve from prototype to production inside your product.
Architecture that scales
The end result is a cleaner system structure that engineers can extend confidently without accumulating more technical debt.
Cost-efficient AI architecture
Model tiering for cost control
We dynamically route requests between models depending on task complexity to avoid unnecessary API costs.
Token optimization and caching
Prompt design, token estimation, and intelligent caching significantly reduce inference costs at scale.
Efficient fine-tuning approaches
Techniques like LoRA and QLoRA allow custom model behavior without expensive full retraining.
Synthetic data pipelines
We generate synthetic datasets to reduce costly manual annotation during model training.
High-performance AI systems
Low-latency model orchestration
We design AI pipelines that minimize response times while maintaining accuracy.
Efficient context processing
Intelligent chunking and summarization reduce token usage and speed up retrieval and generation.
Caching and fallback systems
We implement redundancy and caching layers to maintain performance even during model failures.
Real-time AI capabilities
Our systems support AI features that operate reliably inside user-facing applications.
Secure & compliant AI
Prompt injection protection
We protect AI systems from malicious inputs using context isolation and prompt sanitization techniques.
Model access governance
RBAC controls, scoped API keys, and rate limiting ensure only authorized systems interact with your AI models.
Traceable AI interactions
Audit logs capture prompts, system instructions, and responses to support compliance and debugging.
Sensitive data protection
Data anonymization pipelines protect PII, financial, and proprietary information during AI processing.
Production-ready AI integrations
Seamless system integration
AI services connect directly to your APIs, databases, and internal systems.
AI-ready data pipelines
We prepare and structure your data so AI models can access and interpret it effectively.
RAG knowledge systems
Retrieval-augmented generation enables AI to work with your internal documents and data sources.
Scalable deployment architecture
AI systems are designed to scale alongside your product and infrastructure

A smarter way to build AI infrastructure

Designed for predictable costs, faster iteration, and reusable 
systems at scale
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Predictable 
$/task pricing

Never unpredictable token costs that spiral

Compliance-by-
design

Architecture lets you avoid expensive security retrofits

Synthetic data
pipelines

For faster, cheaper model fine-tuning

Reusable prompt templates

Tested across multiple industries and use cases

How we turn AI ideas into production features

You can start with a Proof of Concept built in 2-3 weeks only, and continue working with us as your embedded team on full-scale AI integration and deployment

2-3 weeks to working PoC
90 days to production deployment

Talk to a Solution Architect
Week 1
Discovery & roadmap
  • Identify high-impact AI opportunities in your workflows
  • Analyze feasibility across different models
  • Create a roadmap
  • Provide security and compliance assessment
Week 2-3
Proof of Concept
  • Build a PoC to validate AI solution
  • Test with real data (anonymized if needed)
  • Measure performance and cost
  • Refine based on feedback
Week 4-12
Integration & deployment
  • Full-scale development with your embedded AI team
  • Integration with existing systems and databases
  • Security implementation and compliance setup
Ongoing
Optimization & monitoring
  • Performance monitoring and cost optimization
  • Feedback loops for continuous improvement
  • Model updates and feature expansion

The technologies we use to build production AI

We don’t commit to a single AI stack. We choose the right models, tools, and infrastructure based on your product, data, and cost constraints
01
AI models

Open-source for sensitive data, commercial APIs for speed. We pick per project.

02
Frameworks & orchestration

What we reach for when building RAG, agents, and pipelines.

03
Vector stores for RAG

Chosen per project — we don't push one vendor.

04
Cloud & deployment

Wherever your infra lives, we deploy there.

Pricing built for growing tech business

We know you're managing budgets carefully while trying to move fast. Our pricing is designed for teams that need advanced AI capabilities but can't afford enterprise budgets or timelines

AI discovery & PoC

Perfect for:
Teams exploring AI opportunities, validating technical feasibility, or building internal buy-in with a working demo.
What's included?
  • 2-3-week discovery and strategy phase
  • Working proof of concept
  • Cost and timeline estimates
  • Integration feasibility assessment
Get cost estimate

Embedded AI team

Perfect for:
Teams adding AI features to existing products, building AI-powered products, or automating complex business processes.
What's included?
  • 1-3 AI engineers + solution architect
  • Full-stack AI development capabilities
  • Pre-configured toolchains and frameworks
  • Ongoing support and optimization
Get cost estimate

What our clients say

We take pride in delivering exceptional solutions that deliver great results.
But don’t just take our word for it.
«Radency has taken a fragmented codebase and created a unified, multi-tenant solution. They have helped us remove significant technical debt.»
Paul Nebel
CTO @ Urban Intelligence
«Their technical expertise, combined with their commitment to delivering high-quality solutions, set them apart.»
Adonia La Camera
CEO, ProStock Tracker

Let’s explore where AI fits in your product

Book a free consultation to see how our certified engineers can be embedded into your product development process.
Max Honcharuk
Partner & Solution Architect

Book 30-minute discussion with
our AI Architect to

Review your product and existing architecture
Identify high-impact AI opportunities
Assess feasibility across different models
Evaluate data readiness and security constraints
Outline a roadmap for a working AI prototype
Book a call