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Research Programs

Seven structured programs — shaped to the technical question, not the calendar.

Each program produces written artifacts that stand on their own, so an engagement can pause, hand off, or extend without losing the work already done. Five fee-based formats sit alongside a Fractional CTO engagement and a selective, equity-based Founder Partnership.

Programs
07
Typical duration
2 weeks – 12 months
Pricing
Scope · Retainer · Equity
Outputs
Client-owned
Architectures · Multimodal · Computer Vision · Frameworks · Inference — what we deploy on serious AI work
  • Transformers
  • Vision Transformers
  • Multimodal Models
  • Diffusion Models
  • Mixture of Experts
  • RLHF
  • LoRA Fine-Tuning
  • RAG
  • Agentic Systems
  • Function Calling
  • Computer Vision
  • Object Detection
  • Semantic Segmentation
  • Pose Estimation
  • Visual Search
  • OCR
  • Document Understanding
  • Speech Recognition
  • Speech Synthesis
  • Speaker Diarization
  • Acoustic Event Detection
  • Anomaly Detection
  • Time-Series Forecasting
  • Recommender Systems
  • PyTorch
  • JAX
  • Hugging Face
  • Diffusers
  • DeepSpeed
  • Accelerate
  • PyTorch Lightning
  • vLLM
  • ONNX Runtime
  • TensorRT
  • Triton Inference
  • Ray
  • Modal
  • CUDA
  • Llama 3
  • Mixtral
  • Whisper
  • Stable Diffusion
  • SAM 2
  • CLIP
  • DINOv2
  • YOLO
  • Florence-2
  • LangChain
  • LlamaIndex
  • DSPy
  • LangGraph
  • FAISS
  • Pinecone
  • Qdrant
  • Weaviate
  • pgvector
  • Weights & Biases
  • MLflow
PRG / 01
TOM

Technology Opportunity Mapping

Best for
Organizations trying to understand where emerging technology — especially AI — can create meaningful operational advantage.
Duration
2 – 4 weeks
Pricing
Quoted per scope
Typical outputs
  • Opportunity map across products and workflows
  • Technical feasibility assessment per opportunity
  • Priority use cases with rationale
  • Risk, constraint, and dependency analysis
  • Recommended next steps
Example

We study the organization's operations, identify where AI and automation could deliver real leverage, and separate genuine opportunities from market noise.

Discuss a TOM engagement
PRG / 02
DRS

Deep Domain Research Sprint

Best for
Teams entering a new technical area, or exploring a complex problem space where shallow research will not be enough.
Duration
3 – 6 weeks
Pricing
Quoted per scope
Typical outputs
  • Domain research brief
  • Technical landscape analysis
  • Capability and tooling assessment
  • Build-vs-buy considerations
  • Research roadmap and decision points
Example

We study the underlying technology, evaluate current methods and architectures, and produce a clear-headed view of what the domain actually requires — not just what is fashionable.

Discuss a DRS engagement
PRG / 03
PDP

Prototype Development Program

Best for
Organizations that need to test a technical idea in practice before committing to full-scale development.
Duration
4 – 10 weeks
Pricing
Quoted per scope
Typical outputs
  • Working prototype against representative data
  • Architecture notes and design decisions
  • Test results, limitations, and failure modes
  • Demo environment with documented access
  • Deployment recommendations
Example

We build a focused proof-of-concept designed to answer the most important technical question — not to be a finished product, but to produce real evidence.

Discuss a PDP engagement
PRG / 04
AAS

AI Adoption Strategy

Best for
Leadership teams trying to make informed decisions about applying AI across products, workflows, or operations.
Duration
4 – 8 weeks
Pricing
Quoted per scope
Typical outputs
  • Adoption roadmap with sequenced initiatives
  • Technical risk register
  • Infrastructure and data requirements
  • Vendor and tooling assessment
  • Phased execution plan with decision gates
Example

We pair domain study with applied AI research to identify where intelligent systems will create real leverage — and where they will quietly waste budget.

Discuss a AAS engagement
PRG / 05
SEV

Systems Evaluation

Best for
Teams that already have tools, models, vendors, or prototypes and need independent technical assessment before scaling.
Duration
2 – 5 weeks
Pricing
Quoted per scope
Typical outputs
  • Benchmark report on representative data
  • Reliability and failure-mode analysis
  • Risk register with severity and likelihood
  • Improvement recommendations
  • Deployment readiness assessment
Example

We design evaluation harnesses that produce reproducible evidence — usable by both technical teams and the leadership making investment decisions.

Discuss a SEV engagement
PRG / 06
FCT

Fractional CTO Engagement

Best for
Startups, scale-ups, and innovation teams that need senior technical leadership — architecture, roadmap, hiring, and engineering judgement — without the cost or runway impact of a full-time CTO hire.
Duration
3 – 12 months · 1–2 days/week
Pricing
Monthly retainer
Typical outputs
  • Technical strategy and product-engineering roadmap
  • Architecture and platform decisions (build, buy, integrate)
  • Hiring plan, team structure, and senior interview support
  • Vendor, model, and infrastructure selection
  • Engineering operations cadence (planning, review, on-call)
  • Investor-facing technical narrative when needed
Example

We operate as an embedded senior technical voice — owning the decisions a CTO would own, partnering with the founding team or existing leadership through a defined commitment window.

Discuss a FCT engagement
PRG / 07
By qualificationFEP

Founder Equity Partnership

Best for
A small number of competitively-selected founders building technically ambitious products where deep research and prototype velocity are the unfair advantage. Engagement is equity-based, not fee-based.
Duration
6+ months · project-defined
Pricing
Equity-based · no fees
Typical outputs
  • Founder-level technical involvement and ownership
  • Research and prototype execution alongside the team
  • Architecture, IP, and defensibility development
  • Strategic technical positioning for fundraising
  • Senior network access (advisors, hires, design partners)
Example

We take on a founder-level seat for a small cohort each year. Selection is through a competitive qualification process — this program is not open to standard inquiry and cannot be purchased.

Request qualification details
Frequently asked

How research programs at GET AI Labs work.

Direct answers to the questions we get most about scoping, sequencing, and pricing engagements.

For organizations exploring where AI could create operational advantage, start with Technology Opportunity Mapping (2–4 weeks). For a defined problem space that needs investigation, the Deep Domain Research Sprint (3–6 weeks) is the fit. To validate a specific idea in code, the Prototype Development Program (4–10 weeks) is designed for that.

Senior technical leadership at 1–2 days per week over 3–12 months: technical strategy and product-engineering roadmap, architecture and platform decisions, hiring plan and senior interview support, vendor/model/infrastructure selection, engineering operations cadence, and investor-facing technical narrative.

It is equity-based, not fee-based, and selective. We take a founder-level seat with a small number of competitively-qualified startups each year — contributing research, prototype execution, architecture, and IP development. It is not open to standard inquiry and cannot be purchased.

Yes. Programs are designed to compose. A typical sequence runs Technology Opportunity Mapping → Deep Domain Research Sprint → Prototype Development Program → Systems Evaluation. Each stage produces written artifacts so engagements can pause or hand off without losing prior work.

Research-format programs run 2–10 weeks. Fractional CTO engagements run 3–12 months. The Founder Equity Partnership runs 6+ months, project-defined. Timelines are scoped to the question, not the calendar.

Pricing is per scope, not per hour, for the five fee-based programs. Fractional CTO uses a monthly retainer. Founder Equity Partnership is equity-based with no fees. Every engagement is quoted against a written scope after a free initial conversation.

Next step

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