Research & Development
Prove feasibility quickly with lean prototypes, benchmarks, and clear go/no‑go criteria.
What Is R&D?
R&D turns uncertainty into evidence. We explore feasibility with slim builds and structured evaluations, so you can invest with confidence.
From model selection to tooling and metrics, we design pragmatic experiments that answer the questions that matter most.
Why It Matters Now
Speed matters. Prove what works (and what doesn’t) early, reduce risk, and unlock funding with hard data.
Evidence first
Benchmark head‑to‑head against your baseline.
Lean prototypes
Answer key questions without heavy builds.
Clear criteria
Define success upfront with go/no‑go thresholds.
Path to MVP
Turn results into a realistic production roadmap.
Real‑World Use Cases
Explore emerging opportunities, evaluate model options, and pressure‑test assumptions:
Feasibility spikes
Quick experiments to answer can‑we/should‑we questions.
Model evaluations
Benchmark candidates (open/hosted) on your datasets.
Data strategy
Define datasets, labeling needs, and evaluation metrics.
Technical risks
Surface constraints early to shape a realistic MVP path.
How It Works
A tight loop: define metrics → build slim prototype → evaluate vs. baseline → recommend next steps.
Define success
Set clear metrics and go/no-go criteria upfront.
Build lean prototype
Create minimal viable version to test core assumptions.
Run benchmarks
Test against baseline with real data and scenarios.
Analyze results
Compare performance and identify key insights.
Recommend path
Provide clear next steps and production roadmap.
Who Is It For?
Best for teams exploring AI feasibility, selecting models, or seeking evidence to unlock investment.
Startups
Validate AI feasibility before raising or building.
Product teams
De-risk technical decisions with evidence.
Enterprises
Explore emerging tech without disrupting roadmaps.
Real‑World Impact
A leadership team needed proof that an AI‑assisted workflow could beat their baseline process. We scoped an R&D track to test feasibility fast.
Within 4 weeks, we built a slim prototype, created evaluation datasets, and ran head‑to‑head benchmarks against existing methods.
- +19% quality on the top‑line metric vs. baseline
- −43% cycle time on the critical path task
- Clear go/no‑go criteria with a path to productionization
The org secured budget with evidence, then moved to MVP with confidence and realistic targets.
How Meraken Helps
We turn technical uncertainty into clear evidence—so you can invest with confidence and build what works.
Weeks to validated results
Model candidates tested
Projects get clear go/no-go
Time saved vs. full build
FAQs
Common questions about R&D and how we approach technical validation.
We start with your biggest technical risks and unknowns. We'll help you prioritize which assumptions need validation most urgently.
We design tests to give clear signals. If results are mixed, we'll recommend next steps: refine the test, try different approaches, or pivot direction.
Absolutely. We'll use your data when possible, or help you create representative test datasets that match your real-world scenarios.
You'll get test results, performance comparisons, technical recommendations, and a clear roadmap for moving to production—if the results warrant it.
Ready to Accelerate R&D?
Let's prove what works, de-risk your biggest assumptions, and get you a clear path to production—in just 4 weeks.