Production-grade AI and automation

We build intelligent systems that run your operations and turn data into decisions.

RRK Technologies scopes, ships, and maintains automation and data products. Multi-cloud by design: GCP, AWS, and Azure. In parallel, we build StockLight - a clean, actionable market insights product.

Two tracks. One standard.

RRK is a productized automation agency. StockLight is a focused product. Same quality bar.

RRK Automation UI and API automation, LLM agents, data pipelines, reliability
StockLight.io Market news to clear insights with a clean UX

What we do

One company with two focused tracks.

RRK - Productized automation agency

We deliver automation that replaces hours of manual work and makes outcomes measurable.

  • LLM agents and orchestration across your stack
  • UI and API automation with page-object discipline
  • Cloud-native backends and event pipelines
  • Analytics and BI on Supabase and pgvector
  • Quality gates and health checks for stable releases
See services

StockLight - Financial intelligence product

A product that turns noisy market feeds into clear, conversation-ready insights.

  • Daily market briefs and context-aware analysis
  • Watchlists that highlight what matters for you
  • Foundation for alerts, personalization, and portfolios
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RRK Services

Enterprise automation that ships

From quick wins to platform work. Scope, build, measure, improve.

UI and API automation

Resilient selectors, retries, page-object model, and deterministic flows. Designed for maintainability at scale.

LLM and agent integration

Clarify, choose, and execute with guardrails. Evaluation and human in the loop where it matters.

Cloud backends - multi cloud

GCP, AWS, and Azure. FastAPI, Docker, queues, schedulers, and observability. Cost-aware by default.

Data intelligence

Supabase and pgvector pipelines, modeling, and reporting that drive decisions.

Quality and reliability

CI checks, visual reports, and safe rollbacks. Shipping without roulette.

Enablement and training

Playbooks, pairing, and internal standards that outlive first delivery.

Data pipelines - from ingestion to agents

We built StockLight on this discipline. The same approach powers client systems: collect the right data, add structure, score with AI, and expose it through clean interfaces.

Reference pipeline

  • 1
    Ingest - RSS, APIs, scrapers, uploads, webhooks
  • 2
    Normalize - schema mapping, dedup, enrichment
  • 3
    Store - Supabase tables, pgvector embeddings, partitions
  • 4
    Analyze - AI signals, topic modeling, entity linking
  • 5
    Agents - decision units that select tools and produce outputs
  • 6
    Deliver - APIs, dashboards, alerts, exports

StockLight style snippet

symbols -> events -> features -> narrative
alerts -> watchlists -> personalization
api -> web -> discord/telegram

We productize this for finance, ops, marketing, and support use cases.

Testing - across layers, by design

We test where bugs actually happen: web, API, mobile, and data checks. Visual status for leadership and developers.

Web and UI

  • Page-object model with clear targets
  • Retries and resilient selectors
  • Visual and accessibility checks on key flows

API and contracts

  • Schema and contract testing with fixtures
  • Idempotency and error-path coverage
  • Load checks for critical endpoints

Mobile and codeless

  • Mobile flow coverage where needed
  • Codeless automation tools for non-dev teams
  • Status dashboards for clarity

Quality pipeline

  • Pre-merge checks with gated CI
  • Smoke tests on deploy with rollback policy
  • Health checks and alerting tied to business metrics
Case study

In-house automation - Matics

Program focused on building an internal automation capability: framework, execution layer, and delivery standards teams can extend.

Scope

  • Unified framework with page-object targets
  • Stable execution and environment controls
  • Reporting approach based on existing tools
  • Playbooks and training for internal teams
Visit Matics Work with RRK

Outcome: clearer structure, faster adoption, and easier handover. The focus was on standards and execution stability.

Faster
Delivery cadence improved
Fewer
Regressions through guardrails
Smoother
Onboarding with playbooks

Tools and IP

Selected assets we can adapt to your use case.

Web research engine

Load data via links, analyze, and synthesize. Useful for due-diligence, market tracking, and ops research.

Ingest -> Normalize -> Segment -> Summarize -> Store (Supabase and pgvector)

Voice to prompt for Cursor and copilots

Speak intent and route to the right coding assistant. Reduces ambiguity and saves time.

Audio -> ASR -> Prompt template -> IDE or agent API

Equity research dataset

Large market dataset for deep stock research and thematic scans. Powers StockLight.

Symbols -> Events and news -> Features -> Insights

Sports psychology signals

Behavioral scoring for football and sports. Momentum and decision context experiments.

Text or events -> Features -> Scoring -> Export

StockLight - clear market signals

We translate market noise into usable understanding: daily briefs, watchlists, and narrative context you can act on.

What you get

Daily clarity
News distilled to what matters for your names
Context
How events connect across sectors and factors
Conversation ready
Insight you can explain to anyone
Personalization
Roadmap for alerts, watchlists, and portfolios
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Policy and disclaimer

Information is for educational purposes only and may include AI generated content. Not an investment advisor. Always do your own research.

Provider: RRK Technologies Ltd. Contact: info@rrk-technologies.com

Ready to move from manual to meaningful

Start with a focused automation scope or try StockLight for clean market understanding.

Work with RRK

Book a discovery call. We will scope a compact, high impact automation track and ship a measurable result.

Contact by email

Open StockLight

See how we turn daily market noise into calm, useful context.

Go to stocklight.io
We reply from info@rrk-technologies.com