Do you only build with these tools?

No. This is what our team uses today. We pick the stack for each project on fit, and many products use none of the app builders at all.

Is AI-written code safe to ship?

Only after review. Every change is read by a senior engineer, covered by tests and scanned before it merges, whoever or whatever wrote it.

Which model should my product use?

It depends on quality, cost, latency and where your data must stay. We usually test two or three on your real cases before choosing.

Can you build on the AI platform our company already uses?

Yes. We build inside Amazon Bedrock, Microsoft Foundry, Google Cloud, Salesforce Agentforce, Databricks and Snowflake in your own accounts, so data, sign-in and billing stay under the controls you already run.

How often does this list change?

Whenever a tool earns its place on client work or stops being worth it. Tools that are retired or folded into another product come off the list, so it reflects what the team uses now.

Are you partners with these companies?

Only where stated on our partners page: OpenAI Select Partner, Claude Select Services Partner, AWS for Startups and NVIDIA Inception. The rest are tools we choose to use.

[ AI tools ]

The 48 AI Tools and Platforms We Build With

The enterprise AI platforms, coding agents, models and agent frameworks we build with on client work, with what each one is good for and how we use it.

Ask Which Tool Fits Browse by Category

[ Directory ]

Every Tool, by What It Does

Cloud AI platforms and business suites large companies already run, where we build agents inside the client's own accounts and controls.

Amazon BedrockAWS's managed service for foundation models from Anthropic, Meta, Mistral, Amazon and others, with AgentCore for running agents in production with memory, identity, policy controls, evaluations and tracing inside your AWS account.
Microsoft FoundryMicrosoft's platform for building AI apps and agents on Azure, formerly Azure AI Foundry, with a catalog of thousands of models including OpenAI and Claude, a managed Agent Service and one control plane for governance.
Gemini Enterprise Agent PlatformGoogle Cloud's platform for building, scaling and governing agents, formerly Vertex AI, with Gemini and partner models, Agent Development Kit support, A2A between agents and data connections to BigQuery.
Microsoft 365 CopilotMicrosoft's AI assistant inside Word, Excel, PowerPoint, Outlook and Teams, grounded in a company's own email, files and meetings through Microsoft Graph and governed by its existing Microsoft 365 permissions.
Copilot StudioMicrosoft's low-code builder for agents that run in Microsoft 365 Copilot, Teams and websites, with Power Platform connectors, MCP tools, agent flows and admin controls through Agent 365.
Salesforce AgentforceSalesforce's platform for AI agents in sales, service, commerce and back-office work, grounded in Customer 360 data, with Agent Script to mix model reasoning with deterministic business rules.
GleanAn enterprise search and agent platform that connects to 100+ workplace apps and answers questions across them, while respecting each source's permissions so people only see what they are allowed to see.
Databricks Agent BricksDatabricks' tools for building and evaluating AI agents on lakehouse data, with Unity Catalog governing what each agent can read, MLflow tracing and model serving in the same platform.
Snowflake Cortex AISnowflake's AI layer, which runs models from OpenAI, Anthropic, Meta and others inside the Snowflake security boundary, with AI functions in SQL, Cortex Agents and natural-language questions over your tables.
UiPathAn automation platform that combines software robots, AI agents and people in one orchestrated process, widely used by large companies to automate back-office work across legacy systems.

[ How we choose ]

Four Tests Before a Tool Touches Client Work

New tools arrive every week. These are the questions we ask before one goes anywhere near your product.

01Proven on real workA tool earns a place after it has helped on client projects, not after a good demo.
02Safe with your dataWe check where data goes, how it is stored and whether it can stay in your cloud.
03Sensible at scaleCost per request, rate limits and latency matter as much as quality once real users arrive.
04Easy to swapWe design so a model or tool can be replaced without rewriting your product.

[ In delivery ]

Where Each Kind of Tool Fits

The tools speed up the work. The decisions, reviews and tests stay with senior engineers.

01PlanResearch, specs and first drafts with models and assistants.
02PrototypeA clickable first version from app builders, in days.
03BuildCoding agents and AI editors, with human review on every change.
04ShipAgents and workflows built on frameworks your team can own.
05ScaleAgents running inside the cloud and business suites you already govern.

[ FAQ ]

About the Tools

Still deciding? A 30-minute call usually answers the rest.

Ask Us Directly

No. This is what our team uses today. We pick the stack for each project on fit, and many products use none of the app builders at all.
Only after review. Every change is read by a senior engineer, covered by tests and scanned before it merges, whoever or whatever wrote it.
It depends on quality, cost, latency and where your data must stay. We usually test two or three on your real cases before choosing.
Yes. We build inside Amazon Bedrock, Microsoft Foundry, Google Cloud, Salesforce Agentforce, Databricks and Snowflake in your own accounts, so data, sign-in and billing stay under the controls you already run.
Whenever a tool earns its place on client work or stops being worth it. Tools that are retired or folded into another product come off the list, so it reflects what the team uses now.
Only where stated on our partners page: OpenAI Select Partner, Claude Select Services Partner, AWS for Startups and NVIDIA Inception. The rest are tools we choose to use.

[ Put them to work ]

[ Contact ]

Let's build your next product together

Book a free strategy call and leave with a clear plan and estimate. No commitment.

01Pick a time that suits you
0230 minutes on scope, stack, timeline and budget
03Fixed-price proposal, NDA on request

Prefer email? contact@sajaltech.com