Scale your field operations with clarity and control
We build technology powering field execution in emerging markets: coordinating insights, decisions and actions at scale, so you grow your impact without eroding your margins.
Every layer of growth puts you one step further from the field.
Once a last-mile distributor crosses a few hundred field agents, the same things start to break:
- execution drifts from your processes,
- fraud creeps in at the edges,
- quality of sales drops under the pressure.
The business on the ground stops matching the business plan.
We aim to solve this structural problem with technology.
The field teaches the system. The system directs the field.
One intelligent layer instead of more management layers.
decisions
intelligence
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See the loop closing on a real case
A signal surfaces from the field.
The system reasons over the full customer context.
It sends the right action to the right agent.
The outcome comes back as learning.
Capture important signals
During a routine collection call, the customer commits to pay, a crucial signal that would normally vanish.
promise to payAnalyze each customer's situation
Our AI credit analyst reasons over the full customer context - geography, repayment history, past interactions, and how this call fits the pattern, then commits to a recommendation on the best course of action.
pattern · repeated unreliability
AI Credit analyst
reasoning
Dispatch the agent
The right action routes to the right agent - depending on location and planning
dispatchedBrief the agent to run the visit
A clear brief lands on the agent's phone. They collect, explain the terms on-site, and debrief in their own language, no forms.
visit debriefedCollect the outcome and improve
The outcome returns to the system as context - sharpening the next decision on this customer, and every customer like them.
Our areas of focus
The same platform, pointed at the decision that matters most for our partners. Three places we've already deployed the technology.
Turning signals into field interventions
This is the loop shown above, live in Madagascar.
Every collections call is transcribed and merged with account and payment history into a single customer record, so the system can decide the next best action.
The outcome feeds straight back in, sharpening the next decision on that customer.
Optimizing agent's routes
Agents are usually prospecting on instinct, without a clear read on where opportunity actually sits.
We're building an automated route-planning AI agent that scores territories from field feedback and external geographic data, then hands each agent a proposals for where to go.
An AI coach to boost digital skills
We've partnered with an NGO running a refugee training program in Kenya to put an AI coach in front of students.
It delivers course content, tests understanding through quizzes, and adjusts its recommendations for each learner based on their progress and results.
01Is this only for PAYGo solar?
PAYGo solar is where we've gone deepest, because that's where the problem is hardest. The loop isn't solar-specific - it applies wherever a large field force sells, collects and services customers far from headquarters. Asset finance and microfinance are the closest adjacencies.
02Do our agents need another app?
No. Briefs and debriefs run through the channel they already use daily. If you have your own field app, we connect into it. We're the engine, not another screen.
03Our agents don't speak English or French. Can they still use it?
Yes - we run collections calls and field debriefs in Malagasy today. Accuracy varies by language, so we assess your actual recordings before committing to anything.
04Does this replace our field supervisors?
No, it extends their reach. A supervisor covering forty agents can't review every call. The system does that and hands them a shortlist of what needs their judgment.
05Does the AI decide on its own?
You set how much authority to delegate: which actions dispatch automatically, which need approval. Every recommendation shows its reasoning, so your team can challenge it rather than take it on faith.
06How quickly can we be live?
We start with one decision - usually collections - and put recommendations in front of a subset of agents. You see whether it changes outcomes before committing to a wider rollout.
