Skip to content
dspraneeth07

// services / AI & Core Engineering

AI built on your reality, not a template.

Models, agents and evaluation, designed, trained and deployed on your terms, including on-prem and air-gapped environments.

Enquire about AI & Core Engineering Book a call
Best for
Teams that need a model, agent or AI system built, trained and deployed on their own terms.
Timeline
Scoped per project
Pricing
Custom quote
Formats
Fixed-scope project · Milestone-based · Monthly retainer

Built by the team behind FlowOS, the CAT Framework and the P21 Semantic Verification Layer.

01Overview

AI & Core Engineering, at a glance.

We build the AI core itself: the model, the agent, the data and the evaluation that proves it works. Every system is scoped to a real operational problem and built to run where your data has to stay, from a cloud account to an air-gapped server room.

Best for
Teams that need a model, agent or AI system built, trained and deployed on their own terms.
Timeline
Scoped per project
Pricing
Custom quote
Formats
Fixed-scope project · Milestone-based · Monthly retainer

What's included

01

LLM Fine-tuning & Custom Models

Models that speak your domain and your languages.

We fine-tune open models on your data, design tokenizers for the languages your users actually write in, and pretrain custom models when an off-the-shelf base won't do.

What we do

  • Fine-tuning with LoRA / QLoRA, SFT and preference tuning
  • Custom tokenizer design, including Indic and low-resource languages
  • Custom model pretraining and the data pipelines behind it
  • Evaluation against your own tasks, not only public benchmarks

Best for

Teams whose domain language, data or deployment rules rule out a general-purpose API model.

Deliverables

  • Trained model weights
  • Training and data pipeline code
  • Evaluation report
  • Reproducibility notes
  • Handover session

Typical outcomes

  • A model that handles your terminology and languages
  • Weights and pipelines you own and can retrain
  • A clear, measured view of where the model is reliable
  • PyTorch
  • Hugging Face Transformers
  • LoRA / QLoRA
  • SentencePiece
  • DeepSpeed
  • vLLM
Discuss this: LLM Fine-tuning & Custom Models

02

AI Agent Development

Agents built on your reality, not a template.

AI agents scoped to a specific operational function: citizen services, internal workflows, field operations, data analysis or decision support.

What we do

  • Requirements and workflow mapping
  • Tool and data integration
  • Guardrails and fallbacks
  • Evaluation against real tasks

Best for

Teams with a defined workflow that should run faster, more consistently or around the clock.

Deliverables

  • Working agent
  • Integration code
  • Test suite
  • Runbook
  • Handover session

Typical outcomes

  • A workflow that runs reliably without manual hand-offs
  • Known, tested behaviour when inputs go wrong
  • A runbook your team can operate from
  • Python
  • FastAPI
  • LangChain
  • MCP
  • Tool calling
  • Local and hosted LLMs
Discuss this: AI Agent Development

03

Agentic Solutions & Multi-Agent Systems

Coordination you can audit, not a black box you have to trust.

Multi-agent systems for operations involving many coordinated decisions, with oversight, auditability and human authority built in from the start.

What we do

  • Orchestration design
  • Human-in-the-loop checkpoints
  • Full action logs and traceability
  • Failure and escalation paths

Best for

Operations where many decisions depend on each other and every one must be traceable.

Deliverables

  • Orchestrated system
  • Audit log design
  • Oversight dashboard spec
  • Evaluation harness
  • Documentation

Typical outcomes

  • Every agent action logged and explainable
  • People keep authority over the decisions that matter
  • Failures escalate instead of compounding silently
  • Multi-agent orchestration
  • Graph execution
  • Audit logging
  • RBAC
  • Python
  • TypeScript
Discuss this: Agentic Solutions & Multi-Agent Systems

04

Cybersecurity & AI Red Teaming

We attack the human, not just the system.

Security assessment, threat modelling and adversarial testing for AI systems, including the human-targeted attack surface conventional penetration testing misses.

What we do

  • Threat modelling
  • Adversarial and prompt-injection testing of AI systems
  • Human-targeted attack scenarios
  • Remediation guidance
Research-backed: see the research

Best for

Teams putting AI in front of customers or staff, and institutions exposed to social-engineering fraud.

Deliverables

  • Threat model
  • Findings report with severity
  • Reproduction steps
  • Remediation roadmap
  • Retest

Typical outcomes

  • A ranked, reproducible list of real weaknesses
  • Fixes prioritised by severity and effort
  • Confirmation, by retest, that the fixes hold
  • Threat modelling
  • Prompt-injection testing
  • Adversarial evaluation
  • Social-engineering scenarios
Discuss this: Cybersecurity & AI Red Teaming

05

Custom Datasets & Model Evaluation

Know how your system performs on your reality, not a public leaderboard.

Domain-specific dataset construction, benchmark design and independent model evaluation, grounded in real linguistic and operational diversity.

What we do

  • Dataset and annotation pipelines, including Indian languages
  • Benchmark and metric design
  • Independent evaluation of your model or vendor
  • Error analysis

Best for

Teams choosing between models or vendors, or training on data that doesn't exist yet.

Deliverables

  • Dataset with documentation
  • Annotation guidelines
  • Benchmark suite
  • Evaluation report
  • Recommendations

Typical outcomes

  • Evidence for a model or vendor decision
  • A benchmark you can re-run as systems change
  • Clear sight of where and why errors happen
  • Python
  • pandas
  • Apache Parquet
  • Hugging Face Datasets
  • Annotation tooling
Discuss this: Custom Datasets & Model Evaluation

06

On-prem & Sovereign Deployment

Intelligence that stays where it belongs.

We deploy models and agents inside your own infrastructure so sensitive data never leaves it.

What we do

  • On-prem and air-gapped architecture
  • Model serving and optimisation
  • Access control and logging
  • Ongoing support

Best for

Public institutions and regulated teams whose data cannot be sent to a third-party API.

Deliverables

  • Deployment architecture
  • Installable stack
  • Security documentation
  • Operations guide

Typical outcomes

  • AI running entirely on infrastructure you control
  • Access and usage you can audit
  • A stack your team can operate and upgrade
  • llama.cpp
  • vLLM
  • Docker
  • Kubernetes
  • On-prem GPUs
  • Air-gapped installers
Discuss this: On-prem & Sovereign Deployment

02How it works

How it works.

  1. 01Discover

    A free call to understand the problem, the data and what success looks like.

    You provide
    The problem, any existing data or code, and your constraints.
    You receive
    A straight answer on whether we're the right fit.
  2. 02Scope

    A written proposal with evaluation criteria, milestones and deliverables.

    You provide
    Answers to follow-up questions and access to sample data.
    You receive
    Proposal with scope, timeline, milestones and price.
  3. 03Build

    Iterative data, training and integration work, shown to you milestone by milestone.

    You provide
    Timely feedback and a single point of contact.
    You receive
    Regular updates and working milestones.
  4. 04Evaluate

    Measurement against the criteria agreed in scope, on your own tasks and data.

    You provide
    Review of results against your real use cases.
    You receive
    An evaluation report with strengths, limits and next steps.
  5. 05Deploy and support

    Deployment into the target environment, documentation and a handover session.

    You provide
    Access to the target environment.
    You receive
    The running system, documentation and a support window.

03Deliverables

What you receive.

  • Trained model weights
  • Training and data pipeline code
  • Evaluation report
  • Reproducibility notes
  • Handover session
  • Working agent
  • Integration code
  • Test suite
  • Runbook
  • Orchestrated system
  • Audit log design
  • Oversight dashboard spec
  • Evaluation harness
  • Documentation
  • Threat model
  • Findings report with severity
  • Reproduction steps
  • Remediation roadmap
  • Retest
  • Dataset with documentation
  • Annotation guidelines
  • Benchmark suite
  • Recommendations
  • Deployment architecture
  • Installable stack
  • Security documentation
  • Operations guide

04Related proof

Work behind this service.

  • Development LLM & Agents

    FlowOS

    Techmatic Systems

    100% pass rate across 400 automated and manual test cases

    • Full-Stack Development
    Read case study
  • Research LLM & Agents

    Axiom SQL-Reflex v4

    Axiom AI Studio (QwikZen)

    34% zero-shot execution accuracy on unseen Spider schemas, fully local

    • Full-Stack Development
    Read case study
  • Research LLM & Agents

    KiranaChain

    Atlas AI Labs

    1,000,000 negotiation turns across 125,000 trajectories in 12 states

    Read case study

Research

05Also available

More ways to work with us.

06Engagement & pricing

Priced by outcome.

Pricing

Custom quote

Premium work is scoped and priced by outcome, not by the hour. You get a fixed price for a defined result, so the incentive is to solve the problem well, not to bill time.

What influences price

  • Scope and complexity
  • Data: what exists, and how clean it is
  • Timeline and urgency
  • Deployment target: cloud, on-prem or air-gapped

  • Fixed-scope project

    A defined result for a fixed price, agreed in the proposal.

  • Milestone-based

    Larger work split into milestones, each delivered and paid in turn.

  • Monthly retainer

    Ongoing work or advisory on a predictable monthly basis.

  • NDA on request, before any details are shared.

07FAQ

Questions, answered.

  • You do. The deliverables, including trained weights, code and datasets built for you, belong to you, and this is written into the proposal before work starts.

08Other services

Explore other services.

09Let's work together

Interested? Let's talk.

Tell us what you need and we'll reply with next steps.

Send an enquiry

Send an enquiry and we'll reply with times for a free discovery call.

Up to 600 characters.

Hyderabad, India