Solve your software
problems, with far
fewer people
in between.
Tekspaz builds AI systems for the parts of software that cost the most and move the slowest: deciding what to build, building it, deploying it, and paying to run it.
Infrastructure Cost
Delivery
Decisions
Engineering Teams
Teksplan
What exactly should we build, and how should it be designed?
Decide what to build. Turn your requirements into a clear, actionable software plan.
The planning phase starts by framing customer problems before a single line of code is written.
Teksplan
What exactly should we build, and how should it be designed?
Decide what to build. Turn your requirements into a clear, actionable software plan.
The planning phase starts by framing customer problems before a single line of code is written.
Teksbuild
How do we build it?
Teksbuild takes a structured plan and returns working software. It orchestrates coding agents across the lifecycle — splitting requirements into tasks, generating code, running tests, diagnosing what failed, fixing it, reviewing the change and assembling the application as it goes.
Paired with it closes the loop: a business problem moves from idea to plan to code to a tested, working application, with a small team steering instead of a large one typing.
Teksbuild
How do we build it?
Teksbuild takes a structured plan and returns working software. It orchestrates coding agents across the lifecycle — splitting requirements into tasks, generating code, running tests, diagnosing what failed, fixing it, reviewing the change and assembling the application as it goes.
Paired with it closes the loop: a business problem moves from idea to plan to code to a tested, working application, with a small team steering instead of a large one typing.
Teksinfra
How do we get it live, and keep it live?
Teksinfra takes tested code from and runs the deployment — provisioning environments, wiring pipelines, gating releases and standing up the operational plumbing an application needs to run in production, not just pass its tests.
It is agentic DevOps: agents plan the release, run the pipeline, watch the rollout and hold or revert it against the checks your team has set, instead of an engineer babysitting a deploy at midnight.
Teksinfra
How do we get it live, and keep it live?
Teksinfra takes tested code from and runs the deployment — provisioning environments, wiring pipelines, gating releases and standing up the operational plumbing an application needs to run in production, not just pass its tests.
It is agentic DevOps: agents plan the release, run the pipeline, watch the rollout and hold or revert it against the checks your team has set, instead of an engineer babysitting a deploy at midnight.
Teksoptima
Why is the data platform bill this large, and what can be changed safely?
Most Snowflake and Databricks spend is not lost to bad SQL. It is lost to compute that is awake when nobody is asking it anything, sized for a workload that no longer exists, and scanning far more data than the answer needs.
The platform installs as a native application inside your own account. Query history, warehouse telemetry and table statistics are read where they already live — no credentials handed over, no metadata leaving your tenancy.
Three levers, applied in that order, take 30–60% out of credit spend.
Teksoptima
Why is the data platform bill this large, and what can be changed safely?
Most Snowflake and Databricks spend is not lost to bad SQL. It is lost to compute that is awake when nobody is asking it anything, sized for a workload that no longer exists, and scanning far more data than the answer needs.
The platform installs as a native application inside your own account. Query history, warehouse telemetry and table statistics are read where they already live — no credentials handed over, no metadata leaving your tenancy.
Three levers, applied in that order, take 30–60% out of credit spend.
Teksoptima
Why is the data platform bill this large, and what can be changed safely?
Most Snowflake and Databricks spend is not lost to bad SQL. It is lost to compute that is awake when nobody is asking it anything, sized for a workload that no longer exists, and scanning far more data than the answer needs.
The platform installs as a native application inside your own account. Query history, warehouse telemetry and table statistics are read where they already live — no credentials handed over, no metadata leaving your tenancy.
Three levers, applied in that order, take 30–60% out of credit spend.