AI-Native Dev Team · Available for Projects

Turn Data, AI & Ideas
into
Real Products.

We embed as your engineering team for projects where data is the differentiator — from AI agents and ML models to full‑stack SaaS platforms and custom research pipelines. Built for startups, enterprises, and mission‑driven organisations.

Start a Project See our Work
30+
Projects Delivered
8+
Years Combined AI Exp.
100%
Remote-Ready
4wk
Avg. Kickoff to MVP
What We Do

Four Capabilities,
One Embedded Team

We don’t hand off tickets. We think with you — from idea to architecture, from data to production, from SaaS to research.

🤖
AI Agents & ML Models
Custom AI agents, RAG systems, and LLM-powered features — from fine-tuning to multi-agent orchestration — that work reliably in your product context.
LLM Fine-tuning/ RAGAgent FrameworksPredictive Modelling & MLOps
⚙️
AI‑Powered SaaS Development
Full‑stack SaaS platforms where data, algorithms, and automation are core differentiators. From questionnaire‑driven optimization engines to LLM‑powered decision intelligence. We build the software and the intelligence.
Full‑Stack SaaSAlgorithmic OptimisationLLM‑Powered Features
🔗
Data Pipelines & Analytics
End-to-end data infrastructure — ingestion, transformation, warehousing, and real-time streaming — so your product is never blocked by missing data.
ETL / ELT StreamingBI Dashboards & Embedded AnalyticsData Warehousing
🔬
Custom Engineering & Data Solutions
Tailored engineering for unique, unstructured, or large‑scale data problems — especially where off‑the‑shelf tools fail. We think through your challenge, then build the solution. Privacy‑first, sovereignty‑aware, and designed for your specific context.
Data Harvesting & CleaningOCR / Unstructured DataNetwork & Cluster Analysis
Selected Work

Projects That Shipped

A selection of recent AI-native builds. Full case studies available on request.

🧠
⚙️ SaaS DevelopmentHR Tech; B2B SaaS

Hybrid Work Schedule Optimizer for Enterprise SaaS

Full‑stack SaaS platform with custom questionnaire builder and multi‑level distribution (organization → team leaders → employees). Powered by an Answer Set Programming (ASP) engine that optimizes schedules at the individual level for large organizations transitioning to hybrid work.

Django · PythonAnswer Set ProgrammingPostgreSQLJavaScriptOptimization
Multi‑level data collection · ASP optimization · Individual‑level schedule output
🤖 AI‑Powered SaaS DevelopmentEducation / Enterprise / NGO

AI‑Driven Decision‑Making Platform for Schools & Organizations

Full‑stack SaaS platform that brings structure to team decisions. Built a complete AI pipeline that helps schools, healthcare, and corporate teams diagnose issues, generate solution options, and produce implementation plans. Five‑step inclusive decision process powered by LLM‑based problem framing, solution generation, and preference aggregation.

LLM / AINode.js · ExpressMongoDB · PostgreSQLPug
94.2% precision, <0.3% false positive rate
Data PlatformHealthTech

Unified Patient Data Lake for a Digital Health Startup

HIPAA-compliant data lake ingesting HL7/FHIR streams from 6 sources. Enabled the ML team to cut feature engineering time from weeks to hours.

dbtSnowflakeAirbyteGreat Expectations
12x faster feature iteration
🔬 Research Engineering🌐 Social Media AnalysisAcademia

Social Media Data Pipeline for Academic Research

A scalable data pipeline that collects, filters, and structures public Twitter data for academic research. Used in a peer‑reviewed study on science politicization (COVID‑19 & climate change) — processing 1.8M+ tweets from 171k+ users over 66 days, with follower network construction for cluster analysis.

Twitter APIAmazon S3Python · scikit‑learn · pandasGephi · ForceAtlas2
1.8M+ tweets · 171k+ users · peer‑reviewed publication
How We Work

From Conversation to Production

A lean four-phase cycle built for startups. No bloated discovery phases. No hand-off gaps.

01
Diagnose
A free, focused session to understand your data situation, stack, and where AI creates the most leverage.
02
Blueprint
We document requirements, propose an architecture, and produce a delivery plan before a line of code is written.
03
Build
Continuous delivery with CI/CD, weekly demos, and direct Slack access. You see progress every sprint.
04
Extend
Post-launch support, monitoring, and iterative improvement. We scale the team with your roadmap.
Who we are

Data scientists, engineers & researchers — built for AI-first startups.

Danalytica was founded to fill the gap between “we need AI” and “we have AI in production.” We combine deep scientific rigour with engineering pragmatism to deliver work that actually runs.

We act as your partner — not a vendor. Ownership, transparency, and a genuine stake in your outcome. We’ve helped startups in fintech, healthtech, e-commerce, and research turn messy data problems into competitive advantages.

Work with us
🎯
Ownership
We take full responsibility for outcomes. If it doesn’t work in production, we’re not done.
🤝
Partnership
We embed into your team and think about your roadmap — not just ticket responses.
🔬
Scientific Rigour
Every model is grounded in evidence. No AI theatre — only things that measurably work.
⚡
Pragmatic Speed
We bias toward shipping and iterating fast without cutting corners on quality.
Get in Touch

Let’s build something that matters.

Whether you’re launching a new product, tackling a complex data problem, or exploring what AI can do for your organisation — we’d love to hear about it.

First conversation is always free and without obligation.

hello@danalytica.com