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AI Development & Digital Transformation

AI development that turns data into decisions

Revonetics designs, builds, and ships production AI systems — from conversational agents to predictive models — and guides your entire organization through the digital transformation needed to run on them. Real automation, measurable ROI, live in weeks, not quarters.

24hrs

Project kickoff

4–8 wks

Kickoff to a working pilot

99.9%

Model uptime SLA

24/7

Support coverage

/ Where AI moves the needle first

High-impact AI, shipped fast

Conversational AI & Chatbots

24/7 AI assistants and support agents that resolve tickets, qualify leads, and speak your customers' language — literally, in 50+ of them.

Predictive & Business Intelligence

Forecasting, churn prediction, and revenue modeling built on your historical data, surfaced in dashboards your team already uses.

Generative AI & Content Automation

On-brand copy, imagery, and product content generated at scale, with human review gates wherever you need them.

Document & Data Intelligence

Contract review, invoice extraction, and compliance checks that used to take days, now returned in seconds with full audit trails.

/ AI development services

Nine AI disciplines, one accountable partner

Whether you need a single chatbot or a company-wide shift to AI-driven operations, every engagement draws from the same in-house AI, data, and engineering expertise.

01

AI Agents & Automation

Autonomous agents that execute multi-step tasks — triaging support queues, reconciling records, updating CRMs — without a human in the loop for the routine cases.

02

LLM Integration & Fine-Tuning

GPT, Claude, and open-source models wired into your product with retrieval-augmented generation (RAG), guardrails, and fine-tuning on your proprietary data.

03

Predictive Analytics & Forecasting

Demand forecasting, pricing optimization, and risk scoring models that turn historical data into decisions your leadership can act on this quarter.

04

Intelligent Process Automation

End-to-end workflow automation that connects your existing tools — ERP, CRM, ticketing — through an AI orchestration layer instead of brittle point-to-point scripts.

05

Generative AI Applications

Custom copilots, content engines, and creative tools built around generative models, tuned to your brand voice and quality bar.

06

Document Intelligence & OCR

Automated extraction, classification, and validation for contracts, invoices, claims, and forms — with confidence scoring and human-review fallback.

07

Conversational AI Platforms

Multilingual chatbots and voice assistants for support, sales, and internal helpdesks, integrated with your knowledge base and ticketing system.

08

MLOps & Model Infrastructure

Training pipelines, model versioning, monitoring, and retraining loops so your models stay accurate as your data evolves — not a one-off deployment.

09

Responsible AI & Governance

Bias testing, explainability, and compliance frameworks (GDPR, HIPAA, SOC 2) baked in from day one, not retrofitted after an audit.

/ Digital transformation

From manual workflows to an AI-native business

Buying an AI tool isn't the same as transforming how your business runs. We help you get from “we should probably use AI somewhere” to a measurable, adopted, company-wide shift — covering process redesign, systems integration, staff enablement, and change management alongside the technology itself.

01

Workflow & Readiness Audit

We map your current processes, data sources, and tooling to find exactly where AI removes the most friction — and where it doesn't belong yet.

02

Roadmap & Architecture

A phased plan that sequences quick wins first, with a technical architecture that fits your existing stack instead of replacing it wholesale.

03

Integration & Build

We connect AI directly into the systems your team already lives in — no separate tool to log into, no second source of truth.

04

Change Management & Adoption

Training, documentation, and staged rollouts so your team actually adopts the new workflow instead of quietly reverting to the old one.

05

Monitor, Retrain, Scale

Ongoing performance monitoring and model retraining as your business changes, plus a clear path to extend AI into the next workflow.

/ Stack

The AI technology we build with

We're model- and cloud-agnostic by design — we pick the LLM, framework, and infrastructure that fits your accuracy, latency, and budget requirements, not the vendor we know best.

OpenAI GPTAnthropic ClaudeGoogle GeminiLangChainLlamaIndexVector Databases

/ Who we serve

AI built for how your industry actually works

Generic AI tools miss industry-specific constraints — compliance, data sensitivity, real-time requirements. We've shipped production AI systems across the sectors below, built around those constraints from day one.

Healthcare

Clinical documentation automation, patient triage assistants, and predictive readmission models built around HIPAA-compliant data handling.

Clinical NLPPatient ChatbotsPredictive DiagnosticsClaims Automation

Finance & Banking

Fraud detection, credit risk scoring, and document automation for institutions where accuracy and auditability aren't optional.

Fraud DetectionRisk ScoringKYC AutomationRobo-Advisory

E-commerce & Retail

Personalization engines, demand forecasting, and AI-driven customer service that scale with traffic spikes instead of buckling under them.

Recommendation EnginesDynamic PricingVisual SearchInventory Forecasting

Manufacturing & Logistics

Predictive maintenance, quality inspection via computer vision, and route optimization that cut downtime and fuel costs.

Predictive MaintenanceComputer Vision QARoute OptimizationDemand Planning

Customer Experience & Support

AI-first support desks that deflect routine tickets automatically and hand off complex cases to human agents with full context.

AI HelpdesksSentiment AnalysisVoice AssistantsTicket Triage

Supply Chain & Operations

Demand sensing, supplier risk models, and automated procurement workflows that keep operations running on real-time data.

Demand SensingSupplier Risk ModelsProcurement AutomationFleet Analytics

/ Why Revonetics

AI that ships, not AI that stays a demo

Plenty of teams can wire up an API call to a language model. Fewer can take that prototype through data pipelines, security review, integration with legacy systems, and staff adoption — and keep it accurate six months later. That full path is what we build for.

  • Senior AI engineers and data scientists, not junior hires learning on your project.
  • Model-agnostic builds — we choose the LLM and infrastructure that fits your case, not our preferred vendor.
  • Privacy-conscious architecture: data minimization, access controls, and audit logging built in for regulated industries.
  • Continuous monitoring and retraining included, so accuracy doesn't quietly degrade after launch.

4–8 weeks

To a working pilot integrated into a real workflow, not a slide deck.

Zero rip-and-replace

AI plugs into your existing CRM, ERP, or helpdesk — no new system to migrate to.

Retraining included

Model performance is monitored and retrained on a schedule, not left to drift.

1 business day

Response time on every inquiry, with a technical point of view, not a sales pitch.

/ Frequently asked questions

AI development questions, answered

Cost, data safety, timelines, and how businesses without an AI team adopt AI — answered plainly.

Still have a question? Talk to an engineer
01What is AI development, and how is it different from regular software development?

AI development builds systems that learn from data and make decisions or predictions — chatbots, forecasting models, document extraction, recommendation engines — rather than just executing fixed logic. It usually combines machine learning models, large language models (LLMs), and traditional software engineering into one working product, wired into your existing tools rather than sitting apart from them.

02How much does custom AI development cost?

It depends on scope: a single chatbot or document-automation workflow typically costs far less than a full predictive-analytics platform or multi-agent system. Tell us your goal and current stack, and we'll send a fixed, itemized quote within one business day — the consultation is free and there's no commitment.

03We have no in-house AI or data science team. Can you still help us adopt AI?

Yes — this is exactly what we're set up to run end to end. We start with a readiness audit of your current workflows and data, then handle the architecture, model selection, integration, and staff training, so you don't need an in-house ML team to get started.

04How long does it take to see results from an AI implementation?

We scope AI pilots — a chatbot, an automation, or a predictive model — to ship within 4 to 8 weeks, integrated into a real workflow so you can measure impact immediately rather than waiting for a 'big bang' launch.

05Is our data safe, and can AI models be trained without exposing sensitive information?

Yes — we build with data privacy and compliance requirements (GDPR, HIPAA, and SOC 2 control principles) in mind as a default, not an afterthought — note we are not ourselves SOC 2 certified. Models can be fine-tuned or run in private cloud environments, and retrieval-augmented generation (RAG) lets you use AI over your data without sending it to third-party training pipelines.

06What AI models and platforms do you work with?

We're model-agnostic — OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models via Hugging Face, deployed on AWS, Azure, or Google Cloud. We choose the model and infrastructure that fits your accuracy, latency, and cost requirements, not a single vendor we're locked into.

07Can AI be integrated into our existing software instead of replacing it?

Yes, and that's how we prefer to build it. We integrate directly into your existing CRM, ERP, helpdesk, or internal tools through APIs, so your team keeps working in familiar systems while AI handles the heavy lifting behind the scenes.

08Do you provide support after the AI system goes live?

Yes — every engagement includes ongoing monitoring, retraining, and support. AI models drift as your data changes, so we track performance continuously and retrain on a schedule that matches how fast your business moves, with 24/7 coverage for anything urgent.

09Do you work with clients outside Sri Lanka?

Yes — we work with clients internationally, including the USA, UK, Canada, Australia, and the UAE. We work in your time zone with agreed overlap hours, communicate in English, and handle international contracts, data-processing agreements, and invoicing.

10Why hire an AI development company in Sri Lanka?

You get production AI engineering — LLM integration, agents, automation — at rates significantly below US and UK consultancies, in English, with overlap across European and APAC time zones. Sri Lanka's software export sector is one of the fastest growing in the region, and AI is where its senior talent concentrates.

11Which business processes should we automate with AI first?

Start where volume is high and judgment is repetitive: customer support triage, document processing, data entry, lead qualification, and internal knowledge search. These deliver measurable ROI in weeks and build the data foundation for more ambitious automation later — we map this in the free consultation.

/ Schedule a free consultation

Let's put AI to work for your business

Rapid implementation, enterprise-grade security, and a dedicated team of AI engineers — tell us what you're building and we'll respond within one business day.