OpenAI
Anthropic
Google Gemini
Meta Llama
Hugging Face
LangChain
Ollama
PyTorch
TensorFlow
Python
FastAPI
n8n
Next.js
React
TypeScript
PostgreSQL
MongoDB
Redis
Supabase
Docker
Kubernetes
AWS
Google Cloud
Microsoft AzureFrom AI agents to enterprise platforms, we design, build and deploy intelligent solutions that solve real business problems — with clear processes, measurable outcomes and end-to-end accountability.
Intelligent agents that handle complex tasks, integrate with your tools, and work autonomously to save time and scale operations.
Turn your internal data into an intelligent knowledge base with hybrid search, reranking and citation-backed answers.
Domain-specific models and fine-tuned LLM solutions tailored to your data, use cases and performance goals.
Automate repetitive work, streamline workflows and integrate your systems to reduce manual effort and improve efficiency.
Secure, scalable and production-ready AI platforms designed for enterprise needs with governance and observability.
Practical guidance on what to build, what to buy, and how to implement AI for real business impact.
The outcomes each agent is designed and evaluated against. Targets today, measured on demo data; real figures as our pilots report.
68%
Targetfaster issue resolution
AI agents that resolve queries and take action across your support tools.
40x
Targetfaster document review cycles
Contracts, invoices and statements processed by AI, ready for review.
3.2x
Targetincrease in qualified pipeline
Agents research accounts, enrich leads and log activity in your CRM.
11hrs
Targetreturned per engineer, per week
Agents that triage issues, draft migrations and keep docs current.
Built for what India, the Gulf and the US each demand — Arabic done properly, tax compliance, data residency and clear operational data — with the tracing, evaluation and guardrails every system we ship carries.
Four of the domains we work in. The full list is longer.
Each stage ends in something you can hold — a document, a demo, a passing eval, a dashboard. Nothing carries over on trust alone.
A paid two-week audit of your processes, data and systems. We come back with a ranked list of what AI should touch — and what it should not.
Audit report and ranked backlog
Model selection, retrieval design, guardrails and the integration surface. You get a written architecture with a cost model attached to it.
Architecture doc with cost model
Two-week sprints to implement agents, integrate with your systems and run internal evals. You see working software early and often.
A working demo in your environment
We run your real use cases, measure accuracy, latency and cost, and pressure-test edge cases with your team before go-live.
Evaluation report with KPIs
We help you launch, monitor and continuously improve. You get playbooks, dashboards and regular reviews to scale safely.
Live dashboards and runbooks
Explore how AI engineering, intelligent automation, knowledge systems and product engineering can transform complex business workflows into measurable digital outcomes.
Agents that watch live events, decide with context and act across your internal systems.
One knowledge layer over scattered data, returning accurate, cited answers in seconds.
Intelligent knowledge layer
ASTRYLX
ENGINEERING SYSTEMS
AI-native digital products on robust architecture, with experiences people adopt.
We are a new team, and we would rather show than claim. We are taking a small number of pilot partners to turn our demo builds into measured, named results.
One process, one team, a written scope and a fixed end date before any work starts.
An evaluation report on your real cases: accuracy, escalation rate, speed and cost per task.
Below our standard rates, in return for honest feedback and a decision at the end.
Nothing is published without your written approval — not your name, not your numbers.
Client stories will appear here once pilots finish — real names, with permission.
Bring one process you think an agent could run.
We'll tell you straight whether it's worth building — and what it would cost if it is.
