Customer assistants
Answers grounded in your help centre, orders and policies.
A chat or email assistant that resolves the common questions and hands over the rest with a summary. It cites its sources, respects your tone and never invents a policy.
Assistants, document automation and agents connected to your real systems. Every answer is grounded, tested and costed, and anything risky goes to your team first.
"Can I change the delivery address on order 4471?"
18 vendor PDFs and 4 customs declarations arrived overnight
"Yes, it has not shipped yet. Send the new address and I will update it."
20 of 22 documents posted to ERP automatically, 2 queued for one-click approval
FOLLOW ONE REQUEST
Six steps, most of them invisible to your customer. Tap through or press play.
"Can I change the delivery address on order 4471?" arrives in chat, email or inside your product.
Intent, language and urgency are detected in well under a second. Simple cases never touch an expensive model.
Order status from your system, the policy from your help centre. Answers are grounded in your sources, with citations.
The model prepares a reply or calls a tool, such as updating the address, within limits you define.
Refunds over a limit, legal topics or low confidence go to your team with the context already filled in.
You see cost, speed and quality per task. Failures become test cases, so the next release is measurably better.
EVERY CASE COSTED
Intent sorted by a small model, answer grounded in help centre and order data, cited. Large model never wakes up.
QUICK FIT CHECK
Three honest questions. Sometimes the answer is a better form or a clear process, and we will say so.
We use the same test in our first call. It takes ten seconds.
We review your processes and data, rank the use cases by payback and build a working prototype of the best one.
WHAT WE BUILD
Answers grounded in your help centre, orders and policies.
A chat or email assistant that resolves the common questions and hands over the rest with a summary. It cites its sources, respects your tone and never invents a policy.
Invoices, contracts, forms and emails turned into clean data.
Extract fields, classify documents, route emails and fill your systems. A confidence score decides what goes straight through and what a person checks.
Summaries, drafts and search that your users actually open.
We add AI features where users already work: summarise a record, draft a reply, search across everything. Usage, cost and quality are measured per feature.
Multi-step tasks across your tools, with clear limits.
Agents that research, update records and trigger workflows across your CRM, helpdesk or internal tools. Every action is permissioned, logged and reversible.
THE WHOLE ROUTE ON ONE DRAWING
WHERE IT LANDS
Grounded replies in 12 languages with handover summaries your team can trust.
Plan an assistant
Extraction with confidence routing: straight-through when sure, human when not.
Automate documents
Summaries, drafts and semantic search inside your product, metered per feature.
Add AI to product
Multi-step work across CRM and helpdesk, every action logged and reversible.
Scope an agentFOR SOFTWARE & SAAS TEAMS · PRODUCT AI
Already shipping a B2B SaaS platform, financial application, ERP or document system? Our applied AI and ML engineers (led by M.Sc. AI & AWS Certified ML leadership) build production-ready AI features directly inside your existing product without distracting your core roadmap team.
Let your users ask questions, generate reports or trigger actions inside your software using tenant-isolated RAG and permissioned tool calls.
For fintech, legal, healthcare and logistics platforms that process invoices, contracts, IDs, signatures or visual inspections at scale.
Already launched an AI feature that is too slow, too expensive or failing edge cases? We optimize latency, accuracy and token spend.
WAYS TO START
Find the two or three AI use cases worth building, with numbers.
One assistant or automation, live, measured and safe.
Keep models, prompts and costs in check as usage grows.
Adjacent disciplines
The models, evaluation and routing behind our integrations.
AutomationApproval flows and internal tools around the AI steps.
DataClean, permissioned data so the model reads the right thing.
ProductWhen the AI feature becomes a product of its own.
Route · Ground · Review
Tell us the process or the pain. We reply with the use case worth starting with, a plan and a fixed scope.