Agent-native engineering
We are a forward-deployed engineering studio. We embed with your team and build agent-native systems on Claude: agents, bots, automations and workflow orchestration.
AI automation, as a product and as a service
We automate the workflow, then harden the system around it
Most AI work stops at a demo that needs its output tuned by hand every time. We build the workflow, then put a harness around it: guardrails, evaluation, and the orchestration that keeps agents on task. The result is a system that produces better output on its own, so each further process costs less to add and less to run.
We do this alongside design and development, because an automation only pays off when it sits inside a product people can use.
- 1.0 MapFollow the work as it really runs and find the repeat steps.
- 2.0 AutomateBuild agents, bots and flows on Claude around those steps.
- 3.0 HardenAdd guardrails, approvals and evaluation so quality is measured.
- 4.0 OptimiseTune tokens, cost and model choice to the workflow.
- 5.0 Run and improveStay embedded, watch the results and keep raising them.
Levels of work
Start simple, go as deep as the work needs
Every engagement sits at one of three levels. Most teams begin at the first and move up as the results come in.
Days to a couple of weeks
Quick wins that run on their own
- Support and FAQ assistants that answer from your documents, with the source shown
- WhatsApp reply and booking assistants that hand over to a person when unsure
- Document reading and data extraction, including scans and forms
- Scheduled reports and daily digests sent to the right people
- Captions, summaries and drafts written for a person to approve
- Inbox and form triage that sorts, tags and routes requests
What we do
What we build with AI
Agent-native engineering
Products and internal systems designed around agents from the first sketch, with tools, memory, approvals and logs as parts of the design.
AI agents
Agents that take a task, use your tools and data to finish it, and ask a person before any step that matters.
Agent harnesses
The skills, hooks, guardrails and evaluation checks that keep an agent on task and make its work testable.
Workflow orchestration
Your apps, data and approvals joined into one automated flow, with logs and retries so it can be trusted.
WhatsApp automation
Assistants and flows on WhatsApp for customer support, bookings, order updates and lead follow-up, with delivery reporting.
Automating your products
Repeat work inside your product, such as onboarding, reports, notifications and back-office tasks, done for you.
Agent-native backends
The services and data layers agents run on: scheduled jobs, queues, retrieval, permissions and audit trails.
Document and retrieval AI
Reading client documents with OCR and extraction, and answering from them with citations a person can check.
Forward-deployed engineering
Our engineers embed with your team, learn how the work really runs, ship agent-native systems into it, and stay to run and improve them.
Machine learning and data
Machine learning, data analytics and other data-driven solutions.
Selected AI work
Products and systems we have built
Products and systems built by Sagnik Mitra, our Head of Design and Product. Each says what part he played and how far it got.
Advox, legal AI for India
sgnk-md, a Markdown vault with an AI assistant
sgnk CareerOS
Travox, travel operations
sgnk Markex, a publishing agent
HQ, operations control plane
Forward-deployed at a regulated fintech
Security-operations co-pilot
Skills registry and agent harness
In development
AIOS, a plug-and-play layer for AI output
Plug it into the workflows you already run. It evaluates the output, applies guardrails, and tunes tokens, cost and model choice to your own work.
Read about AIOSWhat we do well
How we build
Who we build for
Your data
Want to work with us?
Clarity drives every design decision — paired with bold ideas and intent. We love working on projects that move people forward.
Let’s start with a quick form to understand what you need.




