Build it right. Run it well. Know what it tells you.
We engineer data platforms and AI-native applications, support them after go-live, and deliver the insight they produce as a service. Every engagement runs on ADLC, our AI Development Life Cycle.
AI-Native App Development
LLM-enabled mobile and web products with evaluation, guardrails and telemetry built in. Examples include MedZyGo, Hyvlr, N-Tax and N-Fleet.
Data Engineering
Certified data warehousing and BI on Fabric, Databricks and Snowflake, with ClickHouse real-time observability.
Hypercare, Maintenance and Support
Post-launch stabilization, preventive maintenance and SLA-backed L1 to L3 support from four time zones.
Insights-as-a-Service
The deliverable behind every engagement: a managed subscription of daily KPIs, weekly signal briefings and monthly executive insight packs.
Accelerators and Design Systems
Reusable identity, payments, notifications, admin and AI-agent modules plus a governed design system that shorten every build.
ERP and Systems Integration
NetSuite, Dynamics and SAP integration, executive KPI centers inside the ERP, Peppol e-invoicing and custom middleware.
AI Strategy and Roadmapping
An AI roadmap grounded in your data maturity, business goals and risk tolerance.
Solution and Data Architecture
Cloud-native, AI-first architecture that scales from day one and is instrumented throughout.
DevSecOps and Deployment
Security, compliance and reliability integrated into every stage of the delivery pipeline.
Every platform we build ends in one deliverable: insight.
After implementation, Contemplr keeps your data and AI platforms running and turns what they reveal into daily KPIs, weekly signal briefings and a monthly executive insight pack.
AI-powered products.
Observable from day one.
We design and ship AI-native products that solve concrete problems: multilingual healthcare discovery, AI-generated advertising with voice agents that book appointments, Peppol e-invoicing with real-time tax reporting, and multi-tenant fleet operations.
Each one starts from our accelerator kit and design system, and each one reports model quality, latency and business outcomes on a ClickHouse telemetry layer.
Explore our products →The AI Development Life Cycle.
AI-native systems behave differently from traditional software. Requirements are probabilistic, behavior is emergent and quality has to be measured continuously. ADLC is the loop we use on every engagement, with observability and evaluation woven through each of its six stages.
Deep discovery. Observe the business, surface the real problem and define what "good" means in measurable terms.
Data & solution architecture with observability designed in. Choose models, guardrails, and eval strategy up front.
Iterative engineering of models, pipelines, and apps. Code review, test coverage, and documentation are non-negotiable.
ClickHouse-backed telemetry, model evaluation, and quality gates. Nothing reaches production uninstrumented.
DevSecOps go-live: provisioning, release management, cutover and hypercare, with no cliff edge.
Observed behavior feeds the next loop by tuning models, expanding coverage and compounding value over time.
In ADLC, observability is the connective tissue across every phase. Every stage emits signal, and that signal continuously informs the next. The loop never truly closes; it compounds.
From deterministic to probabilistic
Traditional SDLC assumes fixed requirements and pass/fail tests. AI behavior is probabilistic, so ADLC replaces one-time sign-off with continuous evaluation.
From release to evolution
Software is "done" at release; AI systems drift. ADLC treats go-live as the start of an evolution loop driven by observed real-world behavior.
From logging to observing
Logs tell you what happened. ADLC instruments models and outcomes so you understand why, and can decide what to change.
Go-live is the midpoint of a system's life.
Most production issues surface in the weeks after launch, when real users, real data and real integrations meet for the first time. Our support practice is designed around that reality: a structured hypercare window, then a managed service that keeps the platform healthy, secure and improving.
Readiness
Runbooks, monitoring, alert routing, support rota and rollback plan signed off.
Stabilize
Daily stand-ups, war-room triage and the build team on call, with fixes deployed in hours.
Hand-over
Knowledge base, KPIs and ownership move to steady-state support in planned steps.
Maintain and Evolve
L1 to L3 support, patches, upgrades, performance and cost tuning, and the enhancement backlog.
Hypercare
A 30 to 90 day intensive-care window after launch. The engineers who built the system monitor, triage and fix, with daily health reports to your stakeholders.
Maintenance
Dependency and security patching, platform upgrades, ERP release regression, pipeline tuning and cloud cost optimization.
Application and Data Support
ITIL-aligned L1 to L3 support for applications, data pipelines and BI, integrated with your ServiceNow or Jira.
Production down
Core service unavailable or data corrupted for all users.
Major degradation
Key function impaired and a workaround is difficult.
Partial impact
Non-critical defect with a workaround available.
Request or enhancement
Questions, small changes and backlog items.
Indicative targets. Final SLAs are agreed per engagement and support tier.
We work the way you need us to.
Defined. Delivered.
Well-scoped initiatives with clear outcomes. We define scope, agree milestones, and deliver with full accountability. No overruns happen without sign-off.
Always on. Always aligned.
Monthly retainer access to architects, engineers, and advisors as an extension of your team. Ideal for ongoing AI, observability, and data work.
Your team. Scaled.
Need ML engineers, data architects, ClickHouse specialists, or LLM developers? We embed the right people from our global pool into your workflows.
Launch with confidence. Run with less.
A new AI-native product, a data platform, or dependable support for what you already run: we are ready to talk.
Prefer a set time? Book a 30-minute call or message us on WhatsApp.