Services

Everything you need to shipintelligent software.

Six services, one hands-on team, zero hand-offs into the void. Pick the outcome you need — we'll bring the engineering.

AI & ML

AI & Machine Learning that ships to production.

Most ML projects die between the notebook and the release. We build models with the deployment path designed first — data contracts, retraining triggers, and monitoring — so the model you approve is the model your users get.

  • Feasibility audit on your actual data before any build commitment
  • Model development with versioned experiments (no mystery notebooks)
  • MLOps: CI for models, drift monitoring, automated retraining
  • Handover with runbooks — your team can retrain without us

Typical buildsDemand forecasting, churn and risk scoring, recommendation engines, computer-vision quality inspection, and anomaly detection on operational data. Every model ships with an evaluation harness, so "is it still working?" is a dashboard, not a debate.

PyTorchscikit-learnSageMakerMLflowONNXAirflow
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Generative AI

Generative AI & Agents grounded in your data.

A demo that impresses in a meeting and an assistant your customers can trust are two different products. We build the second kind: retrieval grounded in your documents, agents with explicit tool permissions, and an eval suite that catches regressions before your users do.

  • RAG pipelines with citation-backed answers, not confident guesses
  • Agent workflows with scoped tools and approval checkpoints
  • Golden-set evals wired into CI — quality measured on every change
  • Guardrails: PII redaction, prompt-injection defense, cost caps

Typical buildsSupport copilots over internal knowledge bases, document extraction and summarization pipelines, agent workflows that act across your CRM/ERP with human approval gates, and model-choice benchmarks so you pay for the smallest model that meets the quality bar.

LangGraphpgvectorBedrockVertex AIFastAPIRagas
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Cloud

Cloud Migration & Modernization without the bill shock.

Lift-and-shift moves your problems to someone else's data center — at a higher price. We migrate in waves, re-architecting what pays for itself and leaving alone what doesn't, with a cost model agreed before the first workload moves.

  • Workload assessment: migrate, re-platform, rebuild, or retire — per system
  • Everything as code: Terraform-managed infra, reviewable and reversible
  • Zero-downtime cutovers with rehearsed rollback plans
  • Cost engineering: right-sizing, savings plans, autoscaling policies

Typical buildsDatacenter exits to AWS or Azure, monolith-to-services decomposition where it earns its complexity, Kubernetes platform builds with paved-road CI/CD, and FinOps engagements that routinely cut 25–40% off mature cloud bills without touching reliability.

AWSAzureKubernetesTerraformArgoCDDatadog
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Product Engineering

Product Engineering from idea to launch.

We build web and mobile products end to end — design, engineering, QA, and release — with a weekly demo from week one. You watch the product grow instead of waiting for a big reveal that misses the mark.

  • Discovery sprint: clickable prototype + build estimate in week 0–1
  • Full-stack build: TypeScript front to back, tested and typed
  • Design systems so screen twenty ships as fast as screen two
  • Launch engineering: performance budgets, SEO, analytics, rollout flags

Typical buildsSaaS platforms, customer portals, internal tools that replace spreadsheet chaos, and React Native apps sharing logic with the web product. The code review bar is the same one we use on our own products.

ReactNext.jsReact NativeNode.jsPostgreSQLPlaywright
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Data & Analytics

Data Engineering & Analytics numbers people trust.

When two dashboards disagree, everyone stops trusting both. We build warehouse-first data platforms with tested transformations and one defined source of truth per metric — so "what was revenue last quarter?" has exactly one answer.

  • Source audit: every system of record mapped, owners named
  • ELT pipelines with freshness SLAs and failure alerting
  • Metric definitions as code — reviewed, versioned, tested
  • BI enablement: dashboards your team can extend, not just view

Typical buildsConsolidating scattered sources into Snowflake or BigQuery, dbt transformation layers with data tests on every model, near-real-time pipelines for operational dashboards, and semantic layers that make self-serve BI safe for non-analysts.

SnowflakeBigQuerydbtAirflowKafkaPower BI
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Managed IT

Managed IT & Dedicated Teams that keep you shipping.

Running production and building the roadmap are competing jobs. We take the first so your team keeps the second: SLA-backed operations, 24/7 incident response, and dedicated engineers who work as an extension of your org — on your tools, in your standups.

  • 24/7 monitoring with paging, triage, and incident command
  • SLAs in writing: response times, uptime targets, escalation paths
  • Patch & vulnerability management on a published cadence
  • Dedicated engineers vetted by us, interviewed by you

Typical buildsFull application operations with response-time SLAs, security patching and vulnerability management on a fixed cadence, and dedicated pods of 2–6 engineers embedded in your delivery process. Every incident gets a written postmortem; every month gets a cost and reliability review.

DatadogPagerDutyGrafanaAWSJiraServiceNow
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Quick match

Not sure which service? Start from your goal.

Tell us the outcome — we'll argue about the architecture. These are the pairings we recommend most often on first calls.

“I want to validate an AI idea before committing budget.”

Generative AI & AgentsAI & MLVenture Sprint

“We need to ship a new product this quarter.”

Product EngineeringProduct Squad

“Our cloud bill keeps climbing and nobody knows why.”

Cloud Migration & ModernizationOperate & Extend

“Two dashboards, two answers — nobody trusts the numbers.”

Data Engineering & AnalyticsProduct Squad

“My engineers spend more time on tickets than on the roadmap.”

Managed IT & Dedicated TeamsOperate & Extend

Still on the fence? Write to info@technovadors.com with two lines about the problem — we'll reply with a recommended shape, no meeting required.

Let's build

Have something ambitious in mind?

Tell us what you're trying to build we'll come back within one business day with a clear point of view and next steps.

Start the conversationBook a 30-min callChat on WhatsApp+91 70086 13342info@technovadors.com
Reply within 1 business dayNDA-friendly from the first callYou own everything we build