Data residency, by design
Sensitive banking, health, and public-sector data never leaves its legal borders. Models run on our local cluster or directly on-premise at the client.
Deep tech · Applied AI research · Sovereign infrastructure
DipR AI is a deep tech lab building frontier-class models, sovereign compute, and applied research natively on African soil — so no external entity can ever pull the plug.
$ dipr deploy --model dipr-lm-base --region civ1
✓ weights loaded open-weight · locally owned
✓ data residency 100% in-country · Tier-III facility
✓ billing flat-rate · XOF · no token volatility
✓ inference online low-latency edge streams readyWhy we exist
African enterprises are forced to rely on closed-source, foreign-hosted AI black boxes. That breaks data residency laws, exposes sensitive metadata to extraterritorial reach, and bills local businesses in volatile US dollars. We reject the wrapper model — we build the stack.
Sensitive banking, health, and public-sector data never leaves its legal borders. Models run on our local cluster or directly on-premise at the client.
A foreign API can change pricing, alter filters, or pull access overnight. Open-weight models owned and adapted locally make that impossible.
Flat-capacity enterprise tiers billed in XOF decouple West African businesses from fluctuating dollar-denominated token markets.
“Small models for Africa” is a mathematically flawed compromise. We train at the parameter scales dictated by empirical scaling laws — then distill for frugal inference.
The platform
From physical hardware to model weights, we own the full AI value chain — the same structural logic as elite foundational labs, executed with infrastructure realism.
Infrastructure layer
A proprietary, high-density NVIDIA cluster collocated in the Raxio CIV1 Tier-III facility in Grand-Bassam’s VITIB SEZ. Uncompromised data residency, immunity from foreign regulatory interference, and absolute control over the regional AI value chain.
Research layer
No API wrappers. Deep-tech research on model compression, architectural efficiency, and advanced quantization — turning raw compute into high-performance base models built for data-scarce, infrastructure-constrained environments.
Enterprise layer
Sovereign infrastructure and research power three high-impact pillars for immediate market adoption across regulated enterprises, governments, and the regional mid-market.
Open research
The open-weight, trust-by-control playbook: we release models and publish at elite venues to establish Francophone West and Central Africa as a hub for the next generation of AI — and to attract the continent’s best researchers home.
Speech processing · RL optimization · Efficiency
Audio-native tokenization frameworks trained directly on regional data — Baoulé, Dyula, and beyond — instead of passing African languages through a French or English textual filter first.
ACL · EACL · NAACL
Model compression · Hardware-aware NAS · Edge inference
Open-sourced algorithms producing highly portable models without sacrificing performance — high-fidelity AI on standard consumer devices over fluctuating edge networks.
ICLR · ICML · NeurIPS workshops
Agentic IT auditing · Data privacy · Alignment
Peer-reviewed case studies on sovereign data structures, plus an open-source agentic auditing sandbox for highly regulated B2B and GovTech clients.
ACM AIES · ACM EAAMO
Monitoring · Early-warning systems
Contributions to open-source initiatives such as InstaGeo, TAHMO, and AfriClimate AI, turning regional operational constraints into recognized scientific contributions.
Open-source & domain venues
Execution
A hybrid compute scaling model over 36 months: start on non-dilutive cloud, land the hardware locally, and let anchor enterprise contracts subsidize the cluster within its first year.
Months 1–6
100% cloud workloads on non-dilutive allocations (NVIDIA Inception) to finalize core model architecture and fine-tuning.
Month 3
High-density power and rack-space SLAs finalized with Raxio Abidjan, in partnership with the Africa Compute Fund.
Months 7–8
Physical procurement of the first 1–2 NVIDIA-based racks in Abidjan — the deployment layer transitions in-country.
Months 8–12
Local edge-links deployed; sandbox trials and initial live contracts with Tier-1 regional banks and telecom operators.
Month 18
Sandbox design partners converted into multi-year, local-currency (XOF) enterprise software contracts.
Month 36
3–4 fully operational racks handling both core model training and regional enterprise inference natively on our balance sheet.
The team
Alumni of world-class global and African universities, with advanced postgraduate and industry experience in AI, digital trust, and cybersecurity. We offer what elite talent actually wants: compute, intellectual liberty, and hard problems — with international-grade vesting equity.
CEO
AI engineer; incoming PhD student in AI Safety (INP-HB); former CMU-Africa research associate; lead writer of a $250k grant-winning proposal on African mother tongues; AI analyst at IFC.
Chief Scientist
Applied AI research leadership across global and African institutions.
CTO
Senior software engineer specialized in cloud and DevSecOps; ESATIC alumnus.
Research
PhD in AI — vehicular edge computing, task offloading, deep reinforcement learning, trust management, federated learning.
Research
PhD in Free Space Optical communications.
We are raising a $500k pre-seed round complemented by NVIDIA Inception compute, on the path to a $10M seed. Investors, Tier-1 enterprises, researchers — let’s talk.