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Technology Partner · Software, AI & Data Systems
We build high-impact software, AI agents and data platforms.
Fullness is your engineering partner: we design, build and run custom cloud software, agentic workflows and data systems for teams that want outcomes, not demos.
Invoice Approval Pipeline
Run 4821
ReceivedAgent
Invoice from Northfield Supplies, 14 fields read
MatchedAgent
Purchase order 7720
FlaggedAgent
Total is 3.2% above the order
Needs a personNeeds approvalAnswered
Sent to Meera in accounts payable
ApprovedMeera
Meera accepted the difference
PostedAgent
Written to the ERP and logged
Production-ready
Reliable engineering
Human-in-the-loop
Audited & governed
Zero vendor lock-in
Ownership
Core Capabilities
What we build
Five kinds of work, one way of doing it: start with a process that costs you real time, prove it on your own data, and keep a person in charge of what matters.
Methodology
How a project runs
The same four steps whether the first project is an invoice agent or a data platform.
- 01Phase 01
Step 1: Map
We sit with the people who do the work today. We map the process, the data it touches and the points where a person must stay in charge.
DeliverableA scoped plan, a measure of success and a fixed price for the pilot.
- 02Phase 02
Step 2: Prototype
We build the narrowest version that works on your real data, with approval steps in place from the first day.
DeliverableA working agent your team can try on real work, and an honest view on whether to go further.
- 03Phase 03
Step 3: Harden
We add evaluations, guardrails, access controls and monitoring so it can be trusted with real volume.
DeliverableTest results, a runbook, and a log of every decision the agent makes.
- 04Phase 04
Step 4: Run
We run it with you, watch the numbers, fix what drifts and train your team to own it.
DeliverableRegular reporting, support, and a clear route to taking it fully in-house.
Technology & Tooling
What we build with
We pick the tool for the job and design so you can swap it later. Nothing here locks you in.
Models
- Claude
- GPT
- Gemini
- Open-weight models you host
Agents and workflows
- LangGraph
- Temporal
- n8n
- Model Context Protocol
Data
- PostgreSQL
- MongoDB
- BigQuery
- Snowflake
- dbt
- Airflow
Platform
- AWS
- Google Cloud
- Azure
- Kubernetes
- Docker
Languages
- Python
- TypeScript
- Go
Partner Endorsement
“Working with Fullness has been an absolute pleasure. The experienced team of designers and engineers revamped our website, mapped its performance and made quality changes to help us achieve greater visibility and increase qualified traffic on the site.”
Pravin Mahajan
CTO, CIMET
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Common Questions
Questions we get asked first
What is an AI agent, in plain terms?
Software that takes a goal, decides the steps, uses your tools and systems to carry them out, and checks its own work. A chatbot answers; an agent acts. We build agents so that a person approves anything consequential.
Where should we start?
With one process that is repetitive, rule-heavy and costs real time. We map it, build the narrowest version that works on your data, and measure it. If it does not pay off, we will say so.
How do you keep agents safe?
Approval steps for consequential actions, least-privilege access to your systems, evaluations before release, monitoring after it, and a log of every decision so any run can be replayed and audited.
Which AI models do you use?
Whichever fits the task and your constraints: Claude, GPT, Gemini, or open-weight models you host yourselves. We design so the model can be swapped as better ones arrive.
Will our data be used to train models?
We choose providers and settings that do not train on your data, and we can run models inside your own cloud account when your policy requires it.
What does it cost?
Pilots are fixed in scope and price. Ongoing work is a monthly retainer or a dedicated team. We quote after a short discovery call.
Do you work with teams outside India?
Yes. We are based in India and work with teams across time zones, with overlap hours agreed up front.
Start The Conversation
Have a process that eats hours? Tell us about it.
A short call is enough to tell you whether an agent is the right answer, and what it would take.