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.
Project kickoff
Kickoff to a working pilot
Model uptime SLA
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.
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.
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.
Predictive Analytics & Forecasting
Demand forecasting, pricing optimization, and risk scoring models that turn historical data into decisions your leadership can act on this quarter.
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.
Generative AI Applications
Custom copilots, content engines, and creative tools built around generative models, tuned to your brand voice and quality bar.
Document Intelligence & OCR
Automated extraction, classification, and validation for contracts, invoices, claims, and forms — with confidence scoring and human-review fallback.
Conversational AI Platforms
Multilingual chatbots and voice assistants for support, sales, and internal helpdesks, integrated with your knowledge base and ticketing system.
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.
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.
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.
Roadmap & Architecture
A phased plan that sequences quick wins first, with a technical architecture that fits your existing stack instead of replacing it wholesale.
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.
Change Management & Adoption
Training, documentation, and staged rollouts so your team actually adopts the new workflow instead of quietly reverting to the old one.
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.
/ 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.
Finance & Banking
Fraud detection, credit risk scoring, and document automation for institutions where accuracy and auditability aren't optional.
E-commerce & Retail
Personalization engines, demand forecasting, and AI-driven customer service that scale with traffic spikes instead of buckling under them.
Manufacturing & Logistics
Predictive maintenance, quality inspection via computer vision, and route optimization that cut downtime and fuel costs.
Customer Experience & Support
AI-first support desks that deflect routine tickets automatically and hand off complex cases to human agents with full context.
Supply Chain & Operations
Demand sensing, supplier risk models, and automated procurement workflows that keep operations running on real-time data.
/ 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 engineer01What 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.