We build working AI prototypes in days — not months — for small and medium businesses. See the future state of your company before you sign a single contract.
You didn't start a company to spend your weeks on manual data entry, follow-ups that never happened, and the same 40 questions from clients. There's a way out.
Typing numbers off invoices. Copying client info between systems. Reconciling spreadsheets that don't talk to each other. Your people are too expensive for this.
~18 hrs/wk per personEvery lead that doesn't get a response in 10 minutes is a lead you've lost. But nobody on your team has bandwidth for 40 follow-ups a day.
~67% of leads never hear backYou know the data is in there somewhere. Pulling it together takes a half-day, so it doesn't happen, so you fly half-blind into decisions.
6+ hrs per monthly report"What's your pricing?" "Where's my order?" "Can you send that again?" Your team answers the same thing over and over. There's a better use of their brain.
~40% of tickets are repeat QsInvoices, contracts, intake forms, insurance claims. Hundreds of pages a week. Someone reads them, re-types them, files them — and sometimes misses the thing that mattered.
2–4 min per doc × hundredsYou bought the tool. It's been six months. It's a dashboard nobody opens. You don't need another login — you need the thing to actually do the work.
~70% of AI tools never see useMost AI consulting firms are still billing for discovery meetings. We're already building your prototype.
If a firm needs six weeks to show you a slide deck, they're not going to build you anything useful. We'd rather show you the future state of your business in days and let the prototype sell itself.— David Rubin, Founder & CEO
Whether the problem is "we need AI to do this" or "we need these systems to finally talk to each other," we build it — and hand it back to you.
Per Gartner, 40% of enterprise apps will ship with task-specific AI agents by end of 2026. We build the ones that actually do your work — not the chatbot bolted onto your homepage.
AI is only as good as the stack underneath it. We integrate, customize, and automate across the systems you already pay for — Salesforce, HubSpot, UiPath, and the rest.
Most "AI consulting" in 2026 is a thin layer over someone else's API. Ours is built by people who were implementing neural networks from scratch long before ChatGPT had a logo — and that depth shows up in every prototype we ship.
Extract structured data from invoices, contracts, intake forms, and scanned documents with human-level accuracy. Handles handwritten, multi-page, multi-language — and knows when to ask for human review.
Private RAG pipelines grounded in your documents, tickets, and institutional memory. Every answer cites its source. No hallucinated facts dressed up as confidence.
Domain-specific copilots for support, sales, operations, or clinical intake — trained on your playbooks, wired into your tools, with guardrails that match the stakes of the use case.
Multi-step AI agents that execute real work — move data between systems, draft responses, file tickets, close the loop. Human-in-the-loop where it matters, hands-off where it doesn't.
Churn prediction, lead scoring, demand forecasting, anomaly detection. When the right answer is classical ML instead of an LLM, we build it properly — not with a chatbot wrapper.
Every AI system we ship has an evaluation harness. We measure accuracy on your data, monitor for drift in production, and catch failure modes before your users ever see them.
Most clients can't write you a requirements doc. Not because they're not smart — because they don't know what's possible. You can't specify a solution you've never seen. That's the gap — and closing it takes someone who's sat in enough Fortune 500 rooms to tell what really runs a business versus what the org chart says.
Two decades across Apple, Salesforce, and Accenture — senior technology leadership, enterprise strategy, large delivery organizations. David has spent his career sitting with operators and translating "this is killing us" into "this is the system that fixes it." It's not requirements gathering. It's reading your business — and then showing you the version of it that doesn't hurt.
Kalala exists because he watched enough enterprise projects derail on the same thing: the firm misreading the business. Small and medium businesses deserve that same caliber of strategic thinking a Fortune 500 room gets, without the Fortune 500 bill or the 18-month runway. So he built a firm where the first artifact you see is a working prototype, not a slide deck.
"People hate consultants because consultants make you explain your own business. We'd rather watch you run it for an hour and then show you what we'd build."
See David's background on LinkedInWhile most AI consultancies were rebranding around ChatGPT in 2023, Abubakar had already spent years as a nationally-recognized AI researcher — training neural networks from mathematical first principles long before GenAI was a category anyone could sell. That's the difference between calling an API and knowing why the model behaves the way it does.
As Kalala's Head of Solution Architecture, he leads architecture and development. His core strength is solution-first thinking — when a requirement lands on his desk, he evaluates constraints, scale, risk, and ROI before reaching for a tool. The tech stack follows the problem, not the other way around. That's the discipline that turns a rapid prototype into a production-grade system — the same discipline that once took his previous firm to Salesforce Consulting Partner status under his technical leadership.
"Technology designed with vision and discipline isn't a tool. It's the engine of the business."
See Abubakar's background on LinkedInNot a diagram. Not a slide. The terminal output from a model we trained for a client last month.
We're model-agnostic, cloud-agnostic, and fundamentalist about evaluation. Here's the toolkit.
A side-by-side of what changes when the tedious stuff stops being your team's problem.
Long engagements aren't our business model. Here's how a project actually goes.
We build a working prototype you can see and click through before a single NDA or SOW. The prototype is our sales tool — if it doesn't click, there's nothing to sell.
Once the prototype clicks, we run discovery on the real thing — structured requirements, use cases, level-of-effort, and an SOW. No abstract diagrams, no filler.
Our lead engineer translates the prototype into a production asset — architecture, reliability, security, and integration with your existing stack. You stay in the loop, not in the weeds.
Dedicated support hours while your team takes the wheel — docs, training, direct line to our engineers. When you're comfortable, we're done. That's the point.
Every system we recommend to a client, we use internally first. Our own automation runs our business — from the moment a lead comes in to the day we hand off the production system.
If a tool is too clunky for us to use every day, we'd never ask you to. That's why we built our own.
Opportunities, proposals, SOWs, engagement lifecycle — all in one place. Prototype sales motion baked in. No Salesforce complexity tax, no HubSpot upsell ladder.
Every Kalala client gets a dedicated workspace on day one. Transcripts from discovery calls, structured use cases, running action items, living documentation — never a "do you have the latest version?" email.
Tasks tied to real use cases. Velocity tracked against LOE. Delays surfaced before they become escalations. Built for small, senior teams doing technical work — not for middle managers reporting upward.
Our internal agent development stack. Evaluation harnesses, prompt versioning, tool-use scaffolds, observability. The same stack we use to ship your agent — which is why we can ship it in days.
Pick a task you hate. Tell us how many hours it eats. We'll show you what your life looks like on the other side.
Tell us what's eating your time. We'll send back a tailored point of view, a recommended approach, and a ballpark — before you get on a single call.
Pick the closest match — we'll tailor the recommendation to your industry.
Pick as many as apply. The more honest you are, the better the recommendation.
Want to add detail? Describe it in your own words:
Helps us size the solution and the ROI.
No wrong answer. We just want to know whether we're talking next quarter or next week.
One tailored point-of-view email. No drip sequence, no sales call unless you ask for one.
Calibrating your point of view…
We've built systems for the biggest companies in the world. Now we bring that depth — and our direct phone numbers — to businesses that move fast.
DR
Two decades in senior technology leadership at Apple, Salesforce, and Accenture — shaping enterprise software strategy, running large delivery organizations, and sitting across the table from the Fortune 500. Now applying that depth to the businesses that move fast. Direct communicator. Expect straight answers, no consultative hedging.
Connect on LinkedIn
AA
Nationally-recognized AI researcher and solution architect. Computer Engineer with AI specialization; trained neural networks from mathematical first principles long before GenAI was a category. At Kalala he leads architecture and development — the discipline that turns a rapid prototype into a production-grade system that stays shipped.
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