Fastcode AI
Research as a Service
A fixed-scope engagement that converts a client-defined research problem into a peer-reviewed conference submission, co-authored by both organizations.
Production AI for Mercedes-Benz, Bosch, Volkswagen, and Aramco — across the US, Europe, and the Gulf.
Scope
The engagement
You define the research direction and supply domain context. Fastcode AI conducts the research, prepares the manuscript, and manages submission and peer review through to a decision.
Problem domain, application context, available data, and technical review at agreed checkpoints.
Literature review, method design, experimentation, manuscript preparation, and reviewer response.
One manuscript submitted to a jointly selected conference, co-authored by both organizations.
Process
From problem to submission
A typical engagement runs three to four months from problem definition to submission, dependent on target conference deadlines.
- 01Problem definition
You specify the research domain and target application.
- 02Scoping
Both teams agree a defined research question and evaluation criteria.
- 03Execution
Method development, experimentation, and manuscript preparation.
- 04Submission
Manuscript submitted to the jointly selected venue.
- 05Review response
Rebuttal preparation and response to reviewer comments.
On acceptance
The manuscript is published with both organizations listed as co-authors on the byline.
On rejection
Reviewer feedback is incorporated and the manuscript is resubmitted to the next appropriate venue within the same engagement.
Attribution
Your name on the published record
Contributors from both organizations are named on the manuscript, following standard authorship practice. Author order follows contribution, agreed in writing before submission; both affiliations appear on the byline. Shared attribution places Fastcode AI on the same published record as you — tying the engagement to acceptance.
Track record
From our research team
TS-Nudge: Training-free Retrieval Augmentation for Time Series Foundation Models
AAAI 2027 · in reviewUnderstanding Generalized Number Representations for Multi-Token Numerical Outputs
ICLR 2027 · in preparationWhen Five Agents Behave Like One: Measuring Effective Committee Size in Multi-Agent LLM Systems
ACL 2027 · in reviewCausalDriveBench: Evaluating Causal Reasoning in Vision-Language-Action Models for Autonomous Driving
NeurIPS 2026 · in reviewOdo: Depth-Guided Diffusion for Identity-Preserving Body Reshaping
WACV 2026 · publishedSkew-robust Human-Object Interactions in Videos
WACV 2023 · publishedGravity-aware Monocular 3D Human-Object Reconstruction
ICCV 2021 · publishedVRU Pose-SSD: Multiperson Pose Estimation for Automated Driving
AAAI 2021 · publishedMultiview-consistent Semi-supervised Learning for 3D Human Pose Estimation
CVPR 2020 · published
Commercial terms
One fee, agreed before work begins
One problem statement, one manuscript, three to four months to submission.
- Research scoping and problem formulation
- Method development and experimentation
- Manuscript preparation
- Submission to the agreed venue
- Rebuttal and reviewer response
- Revision and resubmission following rejection
No acceptance guarantee
Peer review outcomes cannot be guaranteed by either party. The engagement commits to the research and publication process through to a decision. Following rejection, reviewer feedback is incorporated and the manuscript is resubmitted to the next appropriate venue within the same engagement.
Comparison
Your three options
There are three ways to put your organization’s name on peer-reviewed AI research: build an in-house team, partner with a university lab, or engage Research as a Service.
| Hire researchers in-house | Partner with a university lab | Research as a Service | |
|---|---|---|---|
| Research direction | Client-defined | Shared with the institution | Client-defined |
| Cost structure | Recruitment, salary, and retention of ongoing headcount | Grant funding and institutional overhead | Fixed fee, agreed before work begins |
| Time to first submission | Recruitment and ramp-up precede any output | Set by academic cycles and lab capacity | Three to four months from engagement start |
| Response to rejection | Absorbed internally | Subject to institutional priorities | Revision and resubmission included in scope |
| Attribution | Internal only | Shared with the institution | Both organizations named on the byline |
Research as a Service is the only model with a fixed fee, a defined submission window, and resubmission included in the engagement.
Arjun Jain, Founder & CEO
Fastcode AI, Bengaluru · Stuttgart