DESLART crosses indigenous West African Dwarf and Red Sokoto goats with improved Kalahari Red and Boer genetics — using artificial insemination, RFID traceability, and evidence, not promises, to build a real export-ready value chain from the ground up.
Local Nigerian goats average around 30kg at maturity. Gulf and premium domestic markets want heavier, faster-growing, better-documented animals. The technology to bridge that gap — artificial insemination with proven exotic genetics — is well established. What's missing in most attempts is the discipline to prove it at small scale before promising it at large scale. That discipline is DESLART's actual product.
WAD and Red Sokoto goats are hardy but small. Kalahari Red and Boer crosses can roughly double market weight within a single generation, under proper feeding and health management.
Cervical and laparoscopic AI in goats is established practice in South Africa and beyond. DESLART is adapting it to Delta State conditions — not inventing it from scratch.
We size every claim — weight, price, volume — against verified benchmarks, not aspiration. That's what makes the programme fundable in stages, not just fundable once.
The dam base is chosen by terrain: WAD in the humid riverine LGAs, Red Sokoto in the drier upland pockets. Both are crossed via AI with Kalahari Red as the primary sire, with Boer used selectively as a heavier terminal cross.
Trypanotolerant and built for the humid, tsetse-challenged Niger Delta. Prolific, strong mothering, low base weight is exactly the gap AI is meant to close.
Larger frame, strong milk yield, and skin with recognized international leather value — a second saleable output beyond meat.
Primary sire breed. Excellent heat and disease tolerance for an exotic breed; dark pigmented skin resists sunburn. Crosses reliably onto tropical dams.
Used selectively as a second-cross terminal sire for heavier market animals, once the F1 base herd is well established.
Progestogen sponge + hormone protocol brings does into a predictable breeding window.
Cervical AI in the field; laparoscopic AI with frozen semen at the central centre.
Portable ultrasound confirms pregnancy — no wasted feeding on open does.
Every kid RFID-tagged at birth, logged with parentage and health history.
Formulated ration, health calendar, weight checks against F1 targets.
Domestic premium market first; export once certified and demand-verified.
Each phase produces evidence the next phase is priced on. Revenue figures are conservative, bottom-up estimates, not projections dressed up as commitments.
Facility build, quarantine unit, RFID baseline tagging, first technical training cohort.
First AI cohorts, domestic premium market sales, proof-of-concept data collection begins.
Wider LGA coverage, export certification build-out, first verified export shipment sized to real demand.
Approach larger bi-monthly export volume only once herd base, AI success rates, and a signed off-take support it.
An RFID tag and digital register replace paper records most Nigerian farms still rely on. No credible buyer, domestic or export, accepts a shipment without this — so we build it in from day one, not retrofit it for export later.
Livestock development programmes in Nigeria have a credibility problem, earned by projects that promised volume before proving process. We're building the opposite way round.
Capital released in tranches against verified deliverables — never as a single lump sum against a projection.
Every major cost line — training, equipment, semen — benchmarked against real, sourced pricing before approval.
Export and domestic revenue modeled against real comparables — South African genetics costs, Nigerian market prices, and Somalia's Gulf export benchmark — not aspiration.
RFID tagging and digital records aren't an export-time retrofit — they exist from the first kid crop.
We are not raising against a single export deal. We are raising in stages, against evidence generated at each one.
Real AI conception rates, litter sizes, and kid growth data from Month 7 — not a protocol on paper.
True cost-to-produce tracked against actual domestic sale price on the first 50–300 animals.
Independently verifiable records, not self-reported numbers.
Live animals, breeding stock, goatskin, manure, and eventually semen — not one buyer, one product.
Trained veterinary and animal science leads, not a cooperative structure alone.
| Stage | Timing | Who we approach | What we show |
|---|---|---|---|
| Pre-seed | Mo 1–6 | Grants, DFI TA windows (AFDB, IFAD, FAO, NIRSAL) | The plan, the team, the facility design |
| Proof-of-concept | Mo 7–18 | Local angels, agri-impact funds, state co-investment | Real AI data, first sales, working traceability |
| Growth capital | Mo 19–36 | Agribusiness DFIs, agri PE, SA breeder strategics | 12+ months of revenue, proven unit economics |
| Export finance | Post-buyer | Trade finance banks, export credit facilities | An actual signed, named buyer contract |
A training-of-trainers model: a small cohort certifies with established partners, then cascades training locally — not a large one-off overseas programme.
Nigeria's lead livestock breeding & AI research institute.
Vaccine production, diagnostics, disease surveillance.
Reproductive biotechnology faculty & local technician training.
Kalahari Red & Boer genetics, hands-on laparoscopic AI certification.