- Demand Forecasting
- Agentic AI
- Data Engineering
- Trade Optimization
- Document Intelligence
- LLM Pipelines
- Cloud Migration
- Connected Governance
- Route Intelligence
Data, models, and agentsthat earn their placein production.
Synalytics is where synergy meets analytics. Senior practitioners design, build, and ship the systems your decisions run on.
The rules we build by
Three commitments hold on every engagement, whatever the stack or the industry.
Senior-led, every engagement
Practitioners with deep industry experience run the work directly. No junior staffing with escalation only when something breaks.
Working solutions, not slide decks
Every engagement ends in something running: a platform, a model, an agent. Strategy is only useful once it executes.
Domain first, technology second
FMCG, CPG, manufacturing, healthcare, and enterprise operations. We have shipped in these rooms before, so we start from the problem, not the tool.
- 0+
- Years of combined domain experience
- 0+
- Team members across the analytics stack
- 0+
- AI solutions deployed to production
- 0°
- Visibility into your data and insights
Four practices, one production bar
Pick the practice that matches the problem. The standard is the same in all four: it ships, it runs, and your team can own it.
POS 01 · FMCG / CPG / Manufacturing
Data Science
Forecasting and optimization models that move planning decisions, built against your data and validated on your numbers.
- Demand Forecasting
- Trade Promotion Optimization
- Assortment Planning
- Inventory Optimization
POS 02 · Construction Tech / Enterprise / BFS
Agentic AI
LLM pipelines and document agents that take real work off a team's desk, with a human handoff wherever judgement is needed.
- Document Intelligence
- Automated Invoice Parsing
- Email Workflow Automation
- LLM Pipelines
POS 03 · Industrial Automation / Logistics / Healthcare
Data Engineering
Lakes, warehouses, and pipelines on AWS and Azure, designed so analysts serve themselves and reporting closes on time.
- Data Mesh Architecture
- Data Lake / Warehouse
- ETL Pipelines
- Cloud Migration (AWS, Azure)
POS 04 · Enterprise / BFS / Healthcare
Connected Governance
Governance that connects people, data, and AI agents: who can see what, where it came from, and the proof for the audit.
- Data Governance & Lineage
- Access & Identity (RBAC)
- Master Data Management
- AI Governance & Audit Trails
One pipeline, from raw signal to decision
Every engagement maps to the same proven architecture. We build the stages you are missing and connect the ones you have.
01
Ingest
Unify every source
Structured, unstructured, and streaming data lands in one governed lake: ERP, CRM, IoT, APIs, and the flat files nobody admits to.
- APIs & Webhooks
- IoT Streams
- ERP / CRM
- Flat Files
02
Refine
Model for the business
Layered medallion modeling turns raw feeds into tested, documented, business-ready data products with quality gates at every hop.
- ETL Pipelines
- Data Quality
- dbt Modeling
- Medallion Architecture
03
Reason
Put models on the data
Forecasting, optimization, anomaly detection, and GenAI run directly on the curated layer, versioned and monitored like software.
- Predictive Models
- Anomaly Detection
- GenAI / LLMs
- MLflow
04
Deliver
Land it in the workflow
Intelligence reaches people where decisions happen: CXO dashboards, self-serve BI, alerts, and agents acting inside your tools.
- CXO Dashboards
- Self-Serve BI
- Real-time Alerts
- Power BI / Tableau
01
Ingest
Unify every source
Structured, unstructured, and streaming data lands in one governed lake: ERP, CRM, IoT, APIs, and the flat files nobody admits to.
- APIs & Webhooks
- IoT Streams
- ERP / CRM
- Flat Files
02
Refine
Model for the business
Layered medallion modeling turns raw feeds into tested, documented, business-ready data products with quality gates at every hop.
- ETL Pipelines
- Data Quality
- dbt Modeling
- Medallion Architecture
03
Reason
Put models on the data
Forecasting, optimization, anomaly detection, and GenAI run directly on the curated layer, versioned and monitored like software.
- Predictive Models
- Anomaly Detection
- GenAI / LLMs
- MLflow
04
Deliver
Land it in the workflow
Intelligence reaches people where decisions happen: CXO dashboards, self-serve BI, alerts, and agents acting inside your tools.
- CXO Dashboards
- Self-Serve BI
- Real-time Alerts
- Power BI / Tableau
Five steps, start to handover
The same path on every engagement. Each step ends in something your team can see, test, and keep.
Diagnose
A short discovery against your real data and processes. We leave with a problem statement your team agrees with, not a survey deck.
1 to 2 weeksDesign
Architecture, model choices, and a delivery plan sized to the outcome. You see exactly what will exist at the end and who owns it.
Blueprint + roadmapBuild
Senior practitioners build in short sprints with working software at every checkpoint. No black-box phases, no surprise rewrites.
Weekly working demosDeploy
Production hardening, CI/CD, monitoring, and the boring details that decide whether a system survives its first quarter.
Production + CI/CDTransfer
Documentation, enablement, and handover. Your team runs the system; we stay on call as little or as long as you need.
Your team owns it
Pre-built systems that deploy in weeks, not quarters
Each accelerator started life inside a real engagement and is now a hardened product. Purpose-built, field-tested, and measured in deployed outcomes.
Two products. One operating system for enterprise AI.
Orion ML puts production-grade models in your engineers' hands. Atlas keeps every agent you run governed, observable, and safe to scale.
Watch the work run
Slides describe a system; code is the system. These two panels rebuild our products in miniature: an Orion ML forecast typing and running itself, and a live trace from an Atlas agent fleet.
Animated demo: a Python script configures an Orion ML hierarchical forecaster at SKU and store level with a 12 month horizon, fits it with backtesting, and writes stock norms. The run reports 92.4 percent SKU accuracy and 30 percent lower stockout risk, with a chart of history and forecast.
Animated demo: a live Atlas trace console. Classification, query, and payment agents triage vendor invoice emails: intents classified, replies drafted, purchase orders matched and fast-tracked, and non-PO invoices handed to a human owner for approval. Counters show emails handled today and a 70 percent automation rate.
Outcomes, measured in production
Engagements shown by industry, never by name. Every number was measured after go-live.
- Electronics / Semiconductors
- Healthcare / Surgical
- Industrial Manufacturing
- Enterprise Operations
- FMCG / CPG
- Construction Tech
- Logistics
Put your data to work
We don't sell slide decks. We build working solutions.
Or write to hello@synalytics.com