Plans & ROI
Pricing That Makes Sense
Compare retainers and savings vs hiring, pay for value instead of overhead, and hear from us personally before any commitment.
Starter
No payment now — opens our calendar so you can pick a time.
Growth
No payment now — opens our calendar so you can pick a time.
Enterprise
No payment now — opens our calendar so you can pick a time.
Consultancy
No payment now — opens our calendar so you can pick a time.
We Own The Bugs
Found a bug in our code? Zero repair cost. We fix it, no questions asked. No hourly deductions, no hidden fees. That's our quality guarantee.
Need 100+ Hours?
Building multiple products or need a dedicated team? Let's create a custom package that maximizes your ROI.
ROI that makes sense
Why hire 1 person when you can get a full team of specialists? Compare the real cost.
total_cost_new − total_cost_earlier
When Clutrix costs less, this is negative (you overspend on traditional by the amount below).
total_cost_earlier − total_cost_new
100 hours = 5 minds × 20 hours each
Every software cycle runs from source to shipped product. Hiring in-house adds friction at each step: shortlisting through payroll. Clutrix places service stations along that route so you keep velocity without standing up HR, finance, and vendor sprawl.
What Clutrix does for your company?
Clutrix is here to save your finances, so you land in the positive, with assets and delivery that compound instead of payroll drag.
Capacity where your company needs it: outcomes you switch on, not another fixed salary line.
One engagement model with clear milestones, delivery, and spend you can plan, not surprise overhead.
One partner owns the arc from kickoff to scale, with no vendor patchwork or reconciliation tax.
Design → build → QA → growth in one chain, so velocity compounds instead of handoff debt.
~ Your success is our responsibility ~
Clutrix specialist team
Let's see what the Clutrix specialist team means to your business
Each seat below shows what that specialist actually owns, what hiring for the title alone usually misses, and indicative monthly money left on the table when the glue (handoffs, evaluation, cost discipline) is absent. Then how Clutrix runs the same coverage as one engagement. Figures are illustrative ranges, not guarantees.
01
Data Engineer
Reliable data foundations, not a folder of scripts nobody dares touch.
20 h/mo
Owns
- Pipelines, warehouses & lakehouse patterns that stay up at 3am
- Quality, lineage & observability so metrics don’t quietly lie
- Infra-as-code, batch + streaming, cost-aware scaling
Often missed
Indicative monthly drag if the gap stays open
Runbooks & ownership after launch ("it worked in my notebook")
~₹1.5–4L/mo typical drag
Clear schema / SLA contracts between teams, not ad-hoc APIs
~₹2–6L/mo typical drag
FinOps: surprise warehouse bills nobody modelled
~₹3–12L/mo typical drag
With Clutrix AI
Clutrix AI ships monitored, documented pipelines with production posture from day one, not handoff debt.
02
Data Scientist
Rigorous insight: experiments your leadership can actually bet on.
20 h/mo
Owns
- Sound experimental design & evaluation, not leaderboard hacking
- Turning business questions into measurable KPIs & decision rules
- Communicating uncertainty so product bets stay honest
Often missed
Indicative monthly drag if the gap stays open
A path from notebook → reproducible → productionized
~₹2–5L/mo typical drag
Retrain & drift plans once the world changes (it will)
~₹1.5–4L/mo typical drag
Time to explain trade-offs to non-technical stakeholders, not just decks
~₹1–3L/mo typical drag
With Clutrix AI
Clutrix AI pairs analytics with evaluation discipline and strategy built on evidence, not one hero notebook.
03
AI Engineer
AI that survives real users: latency, cost, and safety as product.
20 h/mo
Owns
- Serving, batching, GPUs, graceful fallbacks & SLOs
- RAG / LLM architecture: prompts, versions, eval in CI
- Security boundaries: PII, abuse, red-team hooks, safe rollout
Often missed
Indicative monthly drag if the gap stays open
Latency & cost guardrails per request (token burn is real)
~₹4–15L/mo typical drag
On-call thinking for model regressions after the demo ships
~₹2–8L/mo typical drag
Treat eval harnesses as code, not a one-off spreadsheet
~₹1.5–4L/mo typical drag
With Clutrix AI
Clutrix AI deploys AI like infrastructure: measurable, bounded spend, and a path when models misbehave.
04
AI Scientist
Novel methods when off-the-shelf stops, without science projects that never land.
20 h/mo
Owns
- Method choice, ablations & literature-informed shortcuts
- Pushing accuracy where it matters, not uniformly everywhere
- Ethics-aware choices in high-stakes or regulated contexts
Often missed
Indicative monthly drag if the gap stays open
Budget for negative results & exploration (R&D needs runway)
~₹2–6L/mo typical drag
Clear go / no-go gates so research doesn’t block shipping forever
~₹3–10L/mo typical drag
Recording *why* an architecture was chosen, not just that it trained
~₹2–5L/mo typical drag
With Clutrix AI
Clutrix AI keeps exploration bounded to outcomes, with novelty tied to ship dates, not endless experiments.
05
Research Scientist
First-principles R&D that connects to your roadmap, not PDFs on a shelf.
20 h/mo
Owns
- Problem framing, literature review & experiment design
- When standard tooling breaks: novel algorithms with validation plans
- Bridging "possible in the lab" with "shippable next quarter"
Often missed
Indicative monthly drag if the gap stays open
Early alignment with product & business constraints
~₹2–7L/mo typical drag
Knowledge transfer so insights don’t die between research and engineering
~₹2–6L/mo typical drag
Long-horizon bets without a validation ladder
~₹3–9L/mo typical drag
With Clutrix AI
Clutrix AI ties research to delivery, so insights engineers can build and leadership can schedule.
