1000+ architects across 107+ countries
CareerByteCode connects you with a community of senior architects who modernise legacy tools, rebuild legacy apps with AI, and stand up AI native infrastructure on AWS, Azure, GCP or your own data centre.
Solutions map
Wherever you start today, one named architect and a vetted pod take you from the first call to AI running in production. Click any capability to talk to us about it.
Where you start
How we deliver
What you get
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Most businesses sit in one of three places. Each path starts with a fixed first sprint, so you see value in weeks, not quarters.
Legacy tools to AI
Excel, Tally, SAP, Zoho, ticketing and email workflows get copilots, agents and automation without a rip and replace.
Legacy apps to AI
Monoliths, .NET, Java and PHP apps are moved to cloud, wrapped with APIs and given AI features.
Greenfield to AI native
GPU clusters, data platforms, LLM gateways, sovereign or air gapped clouds and MLOps pipelines designed for scale and cost.
Future Lab
Fixed scope offers our architects package from the technologies buyers ask about most.
Your first production AI agent in 30 days, with guard rails and a human approval loop.
Ask about thisPolicies, risk checks and evaluation for DPDP and the EU AI Act.
Ask about thisSee and cut GPU and token spend before it surprises you.
Ask about thisFind prompt injection, data leaks and abuse paths in your AI features.
Ask about thisConnect your systems to AI assistants through the Model Context Protocol.
Ask about thisVendor agnostic practices our architects deliver today, and the emerging ones you can ask us about.
Private and in country AI platforms with security built in.
EnquireThe right compute for training and inference, without waste.
EnquireOne controlled door to every model, with caching and limits.
EnquireModels that ship, monitor and roll back like software.
EnquireClean, governed data your AI can trust.
EnquireMeasure quality, safety and drift before and after launch.
EnquireEmerging, ask us:
Search or filter, then add services to your brief. One form at the end, one reply from a named architect.
Answers from your own documents and data, with sources, access rules and evaluation.
Agents that plan and act across your tools, with a human approval loop.
Chat, search and copilots built into your product or internal tools.
A ranked list of AI use cases with effort, value and a first sprint.
Smaller, cheaper models tuned on your data, on cloud or on premise.
Policies, risk checks and evaluation suites for DPDP and the EU AI Act.
Connect your systems to AI assistants through the Model Context Protocol.
Training, testing and release pipelines so models ship like software.
Low latency serving, drift alerts and rollbacks for models in production.
Lakehouse, feature store and MLflow set up for data and ML teams.
Forecasting, scoring and vision models built and validated on your data.
Pipelines, warehouse and governance that make your data AI ready.
Reliable batch and streaming pipelines with tests and lineage.
Reports leaders actually use, on a clean semantic model.
Move data between systems with checks, reconciliation and zero surprises.
Teradata, Netezza, Hadoop and Informatica moved to Snowflake, Databricks, BigQuery or Fabric.
A secure Azure foundation and a planned move of your workloads.
Accounts, networking and guard rails on AWS, then the move.
Projects, IAM and networking on Google Cloud done right the first time.
Private or on premise AI infrastructure where data must stay in country.
Production Kubernetes with autoscaling, ingress, secrets and upgrades.
Fast, safe releases with automated tests, approvals and rollbacks.
Security checks inside every build: code, containers, secrets and IaC.
Logs, metrics, traces and on call run books that cut downtime.
Least privilege access, posture management and audit readiness.
A clear list of risks in your cloud and apps with a fix plan.
Attack your AI features before others do: prompt injection, data leaks, abuse.
ISO 27001, SOC 2 and DPDP controls mapped to what you run.
n8n, Power Automate or custom flows that remove repetitive work.
Copilots and agents on top of the tools your team already uses.
Read invoices, claims and forms automatically with human review.
Salesforce, ServiceNow, Zoho and Power Platform apps and integrations, with AI built in.
Find and remove cloud waste with budgets, alerts and rightsizing.
Keep GPU and token spend under control as AI usage grows.
Tagging, showback and a monthly cost review your teams follow.
Idea to launched product, front to back, by engineers who ship.
iOS and Android apps with a shared code base and a clean backend.
Clean, documented APIs that connect your systems and partners.
Move .NET, Java and PHP monoliths to cloud with APIs and AI features.
Move COBOL, CICS, DB2 and AS/400 systems to cloud step by step, with tests and a parallel run.
Modernise your stack and your teams, together.
SAP ECC to S/4HANA, Oracle EBS and Dynamics upgrades, with clean data and AI on top.
Senior technical leadership, without the full time hire.
From pilot to production, with value in focus.
Hands on programmes that level up your whole team.
Vetted engineers and architects who join your team fast.
Full stack, AI and data experts working as one squad.
Get your leadership fluent in what AI can and cannot do.
The depth of a large firm, the speed of a marketplace and the care of your own team, without the trade offs.
| Feature | CareerByteCode | Big consulting firm | Freelance marketplace | Hiring in house |
|---|---|---|---|---|
| Senior architects from day one | ✓ | Partly | Partly | ✕ |
| Start in days, not months | ✓ | ✕ | ✓ | ✕ |
| Fixed first sprint, value in weeks | ✓ | Partly | ✕ | ✕ |
| Written proposal before you pay | ✓ | ✓ | ✕ | ✕ |
| Vendor neutral advice | ✓ | Partly | Partly | Partly |
| Named architect plus a vetted pod | ✓ | Partly | ✕ | Partly |
| Weekly demos and status reports | ✓ | ✓ | Partly | Partly |
| Everything tracked in your own client area | ✓ | Partly | Partly | ✕ |
| 30 days of support after go live | ✓ | Partly | ✕ | ✓ |
| NDA before you share details | ✓ | ✓ | Partly | ✓ |
| Scale the team up or down from a 1000+ bench | ✓ | Partly | Partly | ✕ |
Start small, prove value, then scale. Every engagement is priced after a free 30 minute scoping call and a written proposal.
Priced after scoping
Priced after scoping
Priced after scoping
Priced after scoping
Free 30 minute call, a readiness view and a matched architect.
A PoC sprint with a working demo on your data.
An agile pod, weekly demos, security and evals built in.
MLOps, monitoring, FinOps and handover with training.
Tap the level that sounds like you. We tell you the next step.
Next step: Run a free AI readiness call and rank your top 3 use cases.
Plan this step with usNext step: Pick one use case for a 2 to 3 week PoC sprint on your real data.
Plan this step with usNext step: Add evals, monitoring and cost controls before you scale.
Plan this step with usNext step: Stand up an LLM gateway and a governance board.
Plan this step with usNext step: Optimise GPU and token spend, and plan sovereign or private AI.
Plan this step with usDiscovery calls happen within 2 business days. A PoC sprint usually starts within 1 to 2 weeks of sign off.
Cloudnloud Technologies Pvt Ltd, Chennai, Tamil Nadu. NDAs are signed before any data is shared.
Yes. AWS, Azure, GCP, hybrid and air gapped on premise deployments are all supported.
After a free scoping call we send a written proposal with scope, milestones and a fixed quote. Taxes are shown separately on every invoice.
Yes. Experienced architects and engineers can apply to join the consulting bench. Read about it on the Become a consultant page. Become a consultant
A named architect replies within 4 business hours. No sales spam.
Prefer to talk first? Email us or message our consulting team.
Cloudnloud Technologies Pvt Ltd, Chennai, Tamil Nadu, India. Privacy
