Economic intelligence,
for the institutions that need it.
Open forecasting infrastructure for banks, asset managers, and businesses. 25+ live data sources, regime-switching econometric models, and fine-tuned foundation LLMs — built from Nigeria, deployable for any emerging market.
See it work
A 40-second look at Asotele answering questions about Nigerian economic data — citing the actual source each time, and refusing cleanly when the data isn't there.
Current indicators
Refreshed by the daily pipeline. Source files versioned in the project repo.
Two audiences. One engine.
The same Asotele forecast engine serves two distinct surfaces. Banks pay for the infrastructure; small businesses get the outputs.
For financial institutions
Banks, asset managers, treasury desks, credit risk teams. Forecast outputs surfaced via REST API, embedded inside Finovamax, or deployed inside your VPC.
- Daily regime classification on currency pairs
- 1/7/30-day FX, oil, equities forecasts with confidence intervals
- Multi-variable transmission analysis (VAR + Granger)
- Native integration with Finovamax banking software
- Open-source methodology — auditable for regulators
For businesses & founders
The graduate building a drone factory. The market trader hedging dollar exposure. The startup founder planning capex. Free access to the same forecast engine via a multilingual web chat, in English, Hausa, Yoruba, Igbo, and Nigerian Pidgin.
- Plain-language daily economic briefings
- Ask-anything Q&A grounded in the forecast engine
- FX, inflation, fuel, and sector outlooks for planning decisions
- Multilingual access — work in the language you actually think in
- Funded by Apex Grid's institutional revenue + grant partners
Launching Q4 2026 Get notified when it's live
Recent project updates
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2026-06-10The Pidgin corpus is built. The number didn't move. Here's what we learned.Following the honest 0.460 macro-F1 reported in the 2026-06-08 Pidgin post, we built the BBC News Pidgin domain corpus the LINGUA Africa proposal scopes — 776 articles, 41,208 cleaned paragraphs, four years of coverage. We then ran the workstream-2 hypothesis end-to-end: AfriBERTa masked-LM continued pretraining on that corpus, then re-fine-tune the sentiment classifier, then test on AfriSenti. Result: +0.0009 macro-F1. Functionally zero. Adding class-weighted loss on top: +0.0052 best-case. The bottleneck isn't Pidgin representation — it's the structural 1.4% neutral class in AfriSenti pcm, and no amount of Pidgin domain text will move that wall. This is the pivot post: the right workstream-2 measurement target is a hand-labelled BBC Pidgin sentiment test set, not the AfriSenti held-out test. We've built the sample; the labels are next.
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2026-06-08Pidgin closes the loop — and the honest F1 gap that comes with itThe fourth and final AsoteleLingua language pilot — Nigerian Pidgin (pcm) — fine-tuned overnight on AfriSenti SemEval-2023 and lands at test macro-F1 0.460. That's substantially below the Hausa 0.779, Igbo 0.782, and Yoruba 0.715 results from earlier in the week. The 4-of-4 milestone is real; so is the gap. This post lays out why Pidgin lags, what it means for the workstream-2 evidence in the LINGUA Africa proposal, and the grounded-knowledge layer that landed alongside it.
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2026-06-04Yoruba lands, Igbo runs tonight — and the Igbo finding the proposal didn't expectAsoteleLingua now covers two of its four target Nigerian languages. The Yoruba pilot — fine-tuned AfriBERTa-Large on AfriSenti SemEval-2023 Yoruba plus a precision-tuned BBC Yorùbá financial scraper — lands at a +0.216 confidence lift over the multilingual baseline, replicating the +0.253 Hausa pattern from earlier this week. Igbo training kicked off tonight; the surprise was discovering, while scoping Igbo source coverage, that Igbo-language online finance content is structurally near-absent — itself the strongest possible argument for the LINGUA Africa workstream.